diff --git a/Investigation/bbox_poc/bbox_front_poc.py b/Investigation/bbox_poc/bbox_front_poc.py
index c22ebe8b..ef09a790 100644
--- a/Investigation/bbox_poc/bbox_front_poc.py
+++ b/Investigation/bbox_poc/bbox_front_poc.py
@@ -55,7 +55,7 @@
draw.text((x + 5, y - 10), labels[i], fill="white", font=font)
# Calculate bounding box with margin
- MARGIN = 25
+ MARGIN = 30
x_min, y_min = min(coords_black["x"]) - MARGIN, min(coords_black["y"]) - MARGIN
x_max, y_max = max(coords_black["x"]) + MARGIN, max(coords_black["y"]) + MARGIN
diff --git a/Investigation/bbox_poc/bbox_top_poc.py b/Investigation/bbox_poc/bbox_top_poc.py
index d1afd39d..56ce4726 100644
--- a/Investigation/bbox_poc/bbox_top_poc.py
+++ b/Investigation/bbox_poc/bbox_top_poc.py
@@ -64,7 +64,7 @@
draw.text((x + 5, y - 10), labels[i], fill="white", font=font)
# Calculate bounding box with margin
- MARGIN = 25
+ MARGIN = 30
x_min, y_min = min(coords_black["x"]) - MARGIN, min(coords_black["y"]) - MARGIN
x_max, y_max = max(coords_black["x"]) + MARGIN, max(coords_black["y"]) + MARGIN
diff --git a/Localization/YOLO/experiment/models/best.pt b/Localization/YOLO/experiment/models/best.pt
new file mode 100644
index 00000000..b827e6c2
Binary files /dev/null and b/Localization/YOLO/experiment/models/best.pt differ
diff --git a/Localization/YOLO/experiment/models/last.pt b/Localization/YOLO/experiment/models/last.pt
new file mode 100644
index 00000000..6e8b5275
Binary files /dev/null and b/Localization/YOLO/experiment/models/last.pt differ
diff --git a/Localization/YOLO/predictions/MARS_front_00003.txt b/Localization/YOLO/experiment/predictions/MARS_front_00003.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00003.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00003.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00005.txt b/Localization/YOLO/experiment/predictions/MARS_front_00005.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00005.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00005.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00009.txt b/Localization/YOLO/experiment/predictions/MARS_front_00009.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00009.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00009.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00016.txt b/Localization/YOLO/experiment/predictions/MARS_front_00016.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00016.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00016.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00020.txt b/Localization/YOLO/experiment/predictions/MARS_front_00020.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00020.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00020.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00029.txt b/Localization/YOLO/experiment/predictions/MARS_front_00029.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00029.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00029.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00034.txt b/Localization/YOLO/experiment/predictions/MARS_front_00034.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00034.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00034.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00043.txt b/Localization/YOLO/experiment/predictions/MARS_front_00043.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00043.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00043.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00047.txt b/Localization/YOLO/experiment/predictions/MARS_front_00047.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00047.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00047.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00052.txt b/Localization/YOLO/experiment/predictions/MARS_front_00052.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00052.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00052.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00058.txt b/Localization/YOLO/experiment/predictions/MARS_front_00058.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00058.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00058.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00060.txt b/Localization/YOLO/experiment/predictions/MARS_front_00060.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00060.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00060.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00061.txt b/Localization/YOLO/experiment/predictions/MARS_front_00061.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00061.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00061.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00068.txt b/Localization/YOLO/experiment/predictions/MARS_front_00068.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00068.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00068.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00072.txt b/Localization/YOLO/experiment/predictions/MARS_front_00072.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00072.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00072.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00073.txt b/Localization/YOLO/experiment/predictions/MARS_front_00073.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00073.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00073.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00080.txt b/Localization/YOLO/experiment/predictions/MARS_front_00080.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00080.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00080.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00081.txt b/Localization/YOLO/experiment/predictions/MARS_front_00081.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00081.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00081.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00084.txt b/Localization/YOLO/experiment/predictions/MARS_front_00084.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00084.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00084.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00099.txt b/Localization/YOLO/experiment/predictions/MARS_front_00099.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00099.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00099.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00106.txt b/Localization/YOLO/experiment/predictions/MARS_front_00106.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00106.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00106.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00110.txt b/Localization/YOLO/experiment/predictions/MARS_front_00110.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00110.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00110.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00115.txt b/Localization/YOLO/experiment/predictions/MARS_front_00115.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00115.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00115.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00121.txt b/Localization/YOLO/experiment/predictions/MARS_front_00121.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00121.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00121.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00126.txt b/Localization/YOLO/experiment/predictions/MARS_front_00126.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00126.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00126.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00129.txt b/Localization/YOLO/experiment/predictions/MARS_front_00129.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00129.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00129.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00130.txt b/Localization/YOLO/experiment/predictions/MARS_front_00130.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00130.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00130.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00132.txt b/Localization/YOLO/experiment/predictions/MARS_front_00132.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00132.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00132.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00134.txt b/Localization/YOLO/experiment/predictions/MARS_front_00134.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00134.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00134.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00153.txt b/Localization/YOLO/experiment/predictions/MARS_front_00153.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00153.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00153.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00156.txt b/Localization/YOLO/experiment/predictions/MARS_front_00156.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00156.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00156.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00158.txt b/Localization/YOLO/experiment/predictions/MARS_front_00158.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00158.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00158.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00170.txt b/Localization/YOLO/experiment/predictions/MARS_front_00170.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00170.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00170.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00171.txt b/Localization/YOLO/experiment/predictions/MARS_front_00171.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00171.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00171.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00177.txt b/Localization/YOLO/experiment/predictions/MARS_front_00177.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00177.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00177.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00178.txt b/Localization/YOLO/experiment/predictions/MARS_front_00178.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00178.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00178.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00180.txt b/Localization/YOLO/experiment/predictions/MARS_front_00180.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00180.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00180.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00182.txt b/Localization/YOLO/experiment/predictions/MARS_front_00182.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00182.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00182.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00188.txt b/Localization/YOLO/experiment/predictions/MARS_front_00188.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00188.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00188.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00191.txt b/Localization/YOLO/experiment/predictions/MARS_front_00191.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00191.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00191.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00193.txt b/Localization/YOLO/experiment/predictions/MARS_front_00193.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00193.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00193.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00199.txt b/Localization/YOLO/experiment/predictions/MARS_front_00199.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00199.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00199.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00200.txt b/Localization/YOLO/experiment/predictions/MARS_front_00200.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00200.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00200.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00208.txt b/Localization/YOLO/experiment/predictions/MARS_front_00208.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00208.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00208.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00211.txt b/Localization/YOLO/experiment/predictions/MARS_front_00211.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00211.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00211.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00215.txt b/Localization/YOLO/experiment/predictions/MARS_front_00215.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00215.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00215.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00216.txt b/Localization/YOLO/experiment/predictions/MARS_front_00216.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00216.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00216.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00221.txt b/Localization/YOLO/experiment/predictions/MARS_front_00221.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00221.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00221.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00228.txt b/Localization/YOLO/experiment/predictions/MARS_front_00228.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00228.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00228.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00241.txt b/Localization/YOLO/experiment/predictions/MARS_front_00241.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00241.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00241.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00243.txt b/Localization/YOLO/experiment/predictions/MARS_front_00243.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00243.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00243.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00252.txt b/Localization/YOLO/experiment/predictions/MARS_front_00252.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00252.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00252.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00266.txt b/Localization/YOLO/experiment/predictions/MARS_front_00266.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00266.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00266.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00269.txt b/Localization/YOLO/experiment/predictions/MARS_front_00269.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00269.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00269.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00270.txt b/Localization/YOLO/experiment/predictions/MARS_front_00270.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00270.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00270.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00272.txt b/Localization/YOLO/experiment/predictions/MARS_front_00272.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00272.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00272.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00276.txt b/Localization/YOLO/experiment/predictions/MARS_front_00276.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00276.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00276.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00277.txt b/Localization/YOLO/experiment/predictions/MARS_front_00277.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00277.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00277.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00286.txt b/Localization/YOLO/experiment/predictions/MARS_front_00286.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00286.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00286.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00287.txt b/Localization/YOLO/experiment/predictions/MARS_front_00287.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00287.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00287.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00288.txt b/Localization/YOLO/experiment/predictions/MARS_front_00288.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00288.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00288.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00298.txt b/Localization/YOLO/experiment/predictions/MARS_front_00298.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00298.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00298.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00300.txt b/Localization/YOLO/experiment/predictions/MARS_front_00300.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00300.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00300.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00303.txt b/Localization/YOLO/experiment/predictions/MARS_front_00303.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00303.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00303.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00306.txt b/Localization/YOLO/experiment/predictions/MARS_front_00306.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00306.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00306.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00307.txt b/Localization/YOLO/experiment/predictions/MARS_front_00307.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00307.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00307.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00309.txt b/Localization/YOLO/experiment/predictions/MARS_front_00309.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00309.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00309.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00312.txt b/Localization/YOLO/experiment/predictions/MARS_front_00312.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00312.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00312.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00314.txt b/Localization/YOLO/experiment/predictions/MARS_front_00314.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_front_00314.txt
rename to Localization/YOLO/experiment/predictions/MARS_front_00314.txt
diff --git a/Localization/YOLO/predictions/MARS_front_00315.txt b/Localization/YOLO/experiment/predictions/MARS_front_00315.txt
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diff --git a/Localization/YOLO/predictions/MARS_top_14954.txt b/Localization/YOLO/experiment/predictions/MARS_top_14954.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_top_14954.txt
rename to Localization/YOLO/experiment/predictions/MARS_top_14954.txt
diff --git a/Localization/YOLO/predictions/MARS_top_14962.txt b/Localization/YOLO/experiment/predictions/MARS_top_14962.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_top_14962.txt
rename to Localization/YOLO/experiment/predictions/MARS_top_14962.txt
diff --git a/Localization/YOLO/predictions/MARS_top_14977.txt b/Localization/YOLO/experiment/predictions/MARS_top_14977.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_top_14977.txt
rename to Localization/YOLO/experiment/predictions/MARS_top_14977.txt
diff --git a/Localization/YOLO/predictions/MARS_top_14994.txt b/Localization/YOLO/experiment/predictions/MARS_top_14994.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_top_14994.txt
rename to Localization/YOLO/experiment/predictions/MARS_top_14994.txt
diff --git a/Localization/YOLO/predictions/MARS_top_14998.txt b/Localization/YOLO/experiment/predictions/MARS_top_14998.txt
similarity index 100%
rename from Localization/YOLO/predictions/MARS_top_14998.txt
rename to Localization/YOLO/experiment/predictions/MARS_top_14998.txt
diff --git a/Localization/YOLO/training-yolo.ipynb b/Localization/YOLO/experiment/training-yolo.ipynb
similarity index 100%
rename from Localization/YOLO/training-yolo.ipynb
rename to Localization/YOLO/experiment/training-yolo.ipynb
diff --git a/Localization/YOLO/models/best.pt b/Localization/YOLO/models/best.pt
index b827e6c2..cc89c07a 100644
Binary files a/Localization/YOLO/models/best.pt and b/Localization/YOLO/models/best.pt differ
diff --git a/Localization/YOLO/models/last.pt b/Localization/YOLO/models/last.pt
index 6e8b5275..d058e9e6 100644
Binary files a/Localization/YOLO/models/last.pt and b/Localization/YOLO/models/last.pt differ
diff --git a/Localization/YOLO/preprocess_for_yolo.py b/Localization/YOLO/preprocess_for_yolo.py
index 4db9ad1a..abe44bad 100644
--- a/Localization/YOLO/preprocess_for_yolo.py
+++ b/Localization/YOLO/preprocess_for_yolo.py
@@ -15,7 +15,7 @@
│ ├── MARS_front_00001.txt
"""
# Constants
-MARGIN = 25
+MARGIN = 30
CLASS_MAPPING = {"black": 0, "white": 1} # Map "black" to 0, "white" to 1
TOP = "top"
FRONT = "front"
diff --git a/Localization/YOLO/training-yolo2.ipynb b/Localization/YOLO/training-yolo2.ipynb
new file mode 100644
index 00000000..7f248bd9
--- /dev/null
+++ b/Localization/YOLO/training-yolo2.ipynb
@@ -0,0 +1 @@
+{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.14","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":10061309,"sourceType":"datasetVersion","datasetId":6200313},{"sourceId":10070179,"sourceType":"datasetVersion","datasetId":6206781}],"dockerImageVersionId":30787,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n for filename in filenames:\n print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2024-11-30T19:29:03.579233Z","iopub.execute_input":"2024-11-30T19:29:03.579616Z","iopub.status.idle":"2024-11-30T19:29:14.090611Z","shell.execute_reply.started":"2024-11-30T19:29:03.579552Z","shell.execute_reply":"2024-11-30T19:29:14.088989Z"},"collapsed":true,"jupyter":{"outputs_hidden":true}},"outputs":[{"name":"stdout","text":"/kaggle/input/datasetpair/dataset/labels/val/MARS_top_10264.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_14206.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_03528.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_11210.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_00899.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_13624.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_11088.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_03965.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_01040.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_00644.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_14430.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_11225.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_12848.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_03601.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_08102.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_05178.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_07692.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_13202.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_03652.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_00891.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_12237.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_08013.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_10121.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_10463.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_05524.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_05896.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_00657.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_12298.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_14876.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_08861.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_06781.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_03619.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_04320.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_14134.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_10103.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_03578.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_11425.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_06703.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_13423.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_14801.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_04907.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_05897.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_03592.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_06525.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_03414.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_06144.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_01681.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_01042.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_14554.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_01762.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_12534.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_06918.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_09174.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_02234.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_03205.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_13213.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_01695.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_12008.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_11121.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_07505.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_05943.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_14044.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_10499.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_10609.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_00928.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_03769.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_10888.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_07728.txt\n/kaggle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put/datasetpair/dataset/labels/val/MARS_top_01883.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_10982.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_12456.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_02183.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_03437.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_01493.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_14066.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_14832.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_00610.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_04953.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_02314.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_06332.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_13045.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_06831.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_13715.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_10836.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_11571.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_07732.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_01594.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_12095.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_11175.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_top_04718.txt\n/kaggle/input/datasetpair/dataset/labels/val/MARS_front_03217.txt\n","output_type":"stream"},{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)","Cell \u001b[0;32mIn[1], line 12\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[38;5;66;03m# Input data files are available in the read-only \"../input/\" directory\u001b[39;00m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;66;03m# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\u001b[39;00m\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mos\u001b[39;00m\n\u001b[0;32m---> 12\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m dirname, _, filenames \u001b[38;5;129;01min\u001b[39;00m os\u001b[38;5;241m.\u001b[39mwalk(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/kaggle/input\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m filename \u001b[38;5;129;01min\u001b[39;00m filenames:\n\u001b[1;32m 14\u001b[0m \u001b[38;5;28mprint\u001b[39m(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(dirname, filename))\n","File \u001b[0;32m/opt/conda/lib/python3.10/os.py:419\u001b[0m, in \u001b[0;36m_walk\u001b[0;34m(top, topdown, onerror, followlinks)\u001b[0m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;66;03m# Issue #23605: os.path.islink() is used instead of caching\u001b[39;00m\n\u001b[1;32m 415\u001b[0m \u001b[38;5;66;03m# entry.is_symlink() result during the loop on os.scandir() because\u001b[39;00m\n\u001b[1;32m 416\u001b[0m \u001b[38;5;66;03m# the caller can replace the directory entry during the \"yield\"\u001b[39;00m\n\u001b[1;32m 417\u001b[0m \u001b[38;5;66;03m# above.\u001b[39;00m\n\u001b[1;32m 418\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m followlinks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m islink(new_path):\n\u001b[0;32m--> 419\u001b[0m \u001b[38;5;28;01myield from\u001b[39;00m _walk(new_path, topdown, onerror, followlinks)\n\u001b[1;32m 420\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 421\u001b[0m \u001b[38;5;66;03m# Recurse into sub-directories\u001b[39;00m\n\u001b[1;32m 422\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m new_path \u001b[38;5;129;01min\u001b[39;00m walk_dirs:\n","File \u001b[0;32m/opt/conda/lib/python3.10/os.py:419\u001b[0m, in \u001b[0;36m_walk\u001b[0;34m(top, topdown, onerror, followlinks)\u001b[0m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;66;03m# Issue #23605: os.path.islink() is used instead of caching\u001b[39;00m\n\u001b[1;32m 415\u001b[0m \u001b[38;5;66;03m# entry.is_symlink() result during the loop on os.scandir() because\u001b[39;00m\n\u001b[1;32m 416\u001b[0m \u001b[38;5;66;03m# the caller can replace the directory entry during the \"yield\"\u001b[39;00m\n\u001b[1;32m 417\u001b[0m \u001b[38;5;66;03m# above.\u001b[39;00m\n\u001b[1;32m 418\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m followlinks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m islink(new_path):\n\u001b[0;32m--> 419\u001b[0m \u001b[38;5;28;01myield from\u001b[39;00m _walk(new_path, topdown, onerror, followlinks)\n\u001b[1;32m 420\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 421\u001b[0m \u001b[38;5;66;03m# Recurse into sub-directories\u001b[39;00m\n\u001b[1;32m 422\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m new_path \u001b[38;5;129;01min\u001b[39;00m walk_dirs:\n"," \u001b[0;31m[... skipping similar frames: _walk at line 419 (1 times)]\u001b[0m\n","File \u001b[0;32m/opt/conda/lib/python3.10/os.py:419\u001b[0m, in \u001b[0;36m_walk\u001b[0;34m(top, topdown, onerror, followlinks)\u001b[0m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;66;03m# Issue #23605: os.path.islink() is used instead of caching\u001b[39;00m\n\u001b[1;32m 415\u001b[0m \u001b[38;5;66;03m# entry.is_symlink() result during the loop on os.scandir() because\u001b[39;00m\n\u001b[1;32m 416\u001b[0m \u001b[38;5;66;03m# the caller can replace the directory entry during the \"yield\"\u001b[39;00m\n\u001b[1;32m 417\u001b[0m \u001b[38;5;66;03m# above.\u001b[39;00m\n\u001b[1;32m 418\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m followlinks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m islink(new_path):\n\u001b[0;32m--> 419\u001b[0m \u001b[38;5;28;01myield from\u001b[39;00m _walk(new_path, topdown, onerror, followlinks)\n\u001b[1;32m 420\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 421\u001b[0m \u001b[38;5;66;03m# Recurse into sub-directories\u001b[39;00m\n\u001b[1;32m 422\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m new_path \u001b[38;5;129;01min\u001b[39;00m walk_dirs:\n","File \u001b[0;32m/opt/conda/lib/python3.10/os.py:377\u001b[0m, in \u001b[0;36m_walk\u001b[0;34m(top, topdown, onerror, followlinks)\u001b[0m\n\u001b[1;32m 374\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[1;32m 376\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 377\u001b[0m is_dir \u001b[38;5;241m=\u001b[39m \u001b[43mentry\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mis_dir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 378\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m:\n\u001b[1;32m 379\u001b[0m \u001b[38;5;66;03m# If is_dir() raises an OSError, consider that the entry is not\u001b[39;00m\n\u001b[1;32m 380\u001b[0m \u001b[38;5;66;03m# a directory, same behaviour than os.path.isdir().\u001b[39;00m\n\u001b[1;32m 381\u001b[0m is_dir \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: "],"ename":"KeyboardInterrupt","evalue":"","output_type":"error"}],"execution_count":1},{"cell_type":"code","source":"import torch.multiprocessing\ntorch.multiprocessing.set_start_method('spawn', force=True)\nimport torch\nprint(torch.cuda.is_available()) # Should return True","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-01T19:12:21.007706Z","iopub.execute_input":"2024-12-01T19:12:21.008100Z","iopub.status.idle":"2024-12-01T19:12:24.070663Z","shell.execute_reply.started":"2024-12-01T19:12:21.008028Z","shell.execute_reply":"2024-12-01T19:12:24.069781Z"}},"outputs":[{"name":"stdout","text":"True\n","output_type":"stream"}],"execution_count":1},{"cell_type":"code","source":"# Clone YOLOv5 repository\n!git clone https://github.com/ultralytics/yolov5.git\n%cd yolov5\n\n# Install required dependencies\n!pip install -r requirements.txt","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-01T19:12:24.072554Z","iopub.execute_input":"2024-12-01T19:12:24.073503Z","iopub.status.idle":"2024-12-01T19:12:37.648511Z","shell.execute_reply.started":"2024-12-01T19:12:24.073459Z","shell.execute_reply":"2024-12-01T19:12:37.647310Z"},"collapsed":true,"jupyter":{"outputs_hidden":true}},"outputs":[{"name":"stdout","text":"Cloning into 'yolov5'...\nremote: Enumerating objects: 17067, done.\u001b[K\nremote: Counting objects: 100% (45/45), done.\u001b[K\nremote: Compressing objects: 100% (33/33), done.\u001b[K\nremote: Total 17067 (delta 24), reused 28 (delta 12), pack-reused 17022 (from 1)\u001b[K\nReceiving objects: 100% (17067/17067), 15.68 MiB | 19.11 MiB/s, done.\nResolving deltas: 100% (11714/11714), done.\n/kaggle/working/yolov5\nRequirement already satisfied: gitpython>=3.1.30 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 5)) (3.1.43)\nRequirement already satisfied: matplotlib>=3.3 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 6)) (3.7.5)\nRequirement already satisfied: numpy>=1.23.5 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 7)) (1.26.4)\nRequirement already satisfied: opencv-python>=4.1.1 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 8)) (4.10.0.84)\nRequirement already satisfied: pillow>=10.3.0 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 9)) (10.3.0)\nRequirement already satisfied: psutil in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 10)) (5.9.3)\nRequirement already satisfied: PyYAML>=5.3.1 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 11)) (6.0.2)\nRequirement already satisfied: requests>=2.32.2 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 12)) (2.32.3)\nRequirement already satisfied: scipy>=1.4.1 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 13)) (1.14.1)\nCollecting thop>=0.1.1 (from -r requirements.txt (line 14))\n Downloading thop-0.1.1.post2209072238-py3-none-any.whl.metadata (2.7 kB)\nRequirement already satisfied: torch>=1.8.0 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 15)) (2.4.0)\nRequirement already satisfied: torchvision>=0.9.0 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 16)) (0.19.0)\nRequirement already satisfied: tqdm>=4.66.3 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 17)) (4.66.4)\nCollecting ultralytics>=8.2.34 (from -r requirements.txt (line 18))\n Downloading ultralytics-8.3.39-py3-none-any.whl.metadata (35 kB)\nRequirement already satisfied: pandas>=1.1.4 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 27)) (2.2.2)\nRequirement already satisfied: seaborn>=0.11.0 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 28)) (0.12.2)\nRequirement already satisfied: setuptools>=70.0.0 in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 42)) (70.0.0)\nRequirement already satisfied: gitdb<5,>=4.0.1 in /opt/conda/lib/python3.10/site-packages (from gitpython>=3.1.30->-r requirements.txt (line 5)) (4.0.11)\nRequirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (1.2.1)\nRequirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (0.12.1)\nRequirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (4.53.0)\nRequirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (1.4.5)\nRequirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (21.3)\nRequirement already satisfied: pyparsing>=2.3.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (3.1.2)\nRequirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.3->-r requirements.txt (line 6)) (2.9.0.post0)\nRequirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.10/site-packages (from requests>=2.32.2->-r requirements.txt (line 12)) (3.3.2)\nRequirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests>=2.32.2->-r requirements.txt (line 12)) (3.7)\nRequirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests>=2.32.2->-r requirements.txt (line 12)) (1.26.18)\nRequirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests>=2.32.2->-r requirements.txt (line 12)) (2024.8.30)\nRequirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (3.15.1)\nRequirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/lib/python3.10/site-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (4.12.2)\nRequirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (1.13.3)\nRequirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (3.3)\nRequirement already satisfied: jinja2 in /opt/conda/lib/python3.10/site-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (3.1.4)\nRequirement already satisfied: fsspec in /opt/conda/lib/python3.10/site-packages (from torch>=1.8.0->-r requirements.txt (line 15)) (2024.6.1)\nRequirement already satisfied: py-cpuinfo in /opt/conda/lib/python3.10/site-packages (from ultralytics>=8.2.34->-r requirements.txt (line 18)) (9.0.0)\nCollecting ultralytics-thop>=2.0.0 (from ultralytics>=8.2.34->-r requirements.txt (line 18))\n Downloading ultralytics_thop-2.0.12-py3-none-any.whl.metadata (9.4 kB)\nRequirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.1.4->-r requirements.txt (line 27)) (2024.1)\nRequirement already satisfied: tzdata>=2022.7 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.1.4->-r requirements.txt (line 27)) (2024.1)\nRequirement already satisfied: smmap<6,>=3.0.1 in /opt/conda/lib/python3.10/site-packages (from gitdb<5,>=4.0.1->gitpython>=3.1.30->-r requirements.txt (line 5)) (5.0.1)\nRequirement already satisfied: six>=1.5 in /opt/conda/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib>=3.3->-r requirements.txt (line 6)) (1.16.0)\nRequirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2->torch>=1.8.0->-r requirements.txt (line 15)) (2.1.5)\nRequirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/lib/python3.10/site-packages (from sympy->torch>=1.8.0->-r requirements.txt (line 15)) (1.3.0)\nDownloading thop-0.1.1.post2209072238-py3-none-any.whl (15 kB)\nDownloading ultralytics-8.3.39-py3-none-any.whl (896 kB)\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m896.9/896.9 kB\u001b[0m \u001b[31m15.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n\u001b[?25hDownloading ultralytics_thop-2.0.12-py3-none-any.whl (26 kB)\nInstalling collected packages: ultralytics-thop, thop, ultralytics\nSuccessfully installed thop-0.1.1.post2209072238 ultralytics-8.3.39 ultralytics-thop-2.0.12\n","output_type":"stream"}],"execution_count":2},{"cell_type":"code","source":"import os\nimport yaml\n\n# Define the directory and file path\nnew_dir = \"/kaggle/working/yolov5/\"\nos.makedirs(new_dir, exist_ok=True)\nyaml_path = os.path.join(new_dir, \"dataset.yaml\")\n\n# Define the dataset structure\ndataset = {\n 'train': '/kaggle/input/datasetpair/dataset/images/train', # Replace with your train images directory\n 'val': '/kaggle/input/datasetpair/dataset/images/val', # Replace with your validation images directory\n 'nc': 2, # Number of classes\n 'names': ['black', 'white'] # Class names\n}\n\n# Write the YAML file\nwith open(yaml_path, 'w') as file:\n yaml.dump(dataset, file, default_flow_style=False)\n\nprint(f\"dataset.yaml written to: {yaml_path}\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-30T19:30:57.339550Z","iopub.execute_input":"2024-11-30T19:30:57.340511Z","iopub.status.idle":"2024-11-30T19:30:57.364656Z","shell.execute_reply.started":"2024-11-30T19:30:57.340474Z","shell.execute_reply":"2024-11-30T19:30:57.363859Z"}},"outputs":[{"name":"stdout","text":"dataset.yaml written to: /kaggle/working/yolov5/dataset.yaml\n","output_type":"stream"}],"execution_count":4},{"cell_type":"code","source":"!python /kaggle/working/yolov5/train.py --img 416 --batch 32 --epochs 50 --data /kaggle/working/yolov5/dataset.yaml --weights yolov5s.pt\n!cp /kaggle/working/yolov5/runs/train/exp/weights/best.pt /kaggle/outputs/best.pt\n!cp /kaggle/working/yolov5/runs/train/exp/weights/best.pt /kaggle/input/best.pt","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-11-30T19:31:00.322966Z","iopub.execute_input":"2024-11-30T19:31:00.324005Z","iopub.status.idle":"2024-12-01T00:22:36.042865Z","shell.execute_reply.started":"2024-11-30T19:31:00.323968Z","shell.execute_reply":"2024-12-01T00:22:36.041916Z"}},"outputs":[{"name":"stdout","text":"Creating new Ultralytics Settings v0.0.6 file ✅ \nView Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json'\nUpdate Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.\n\u001b[34m\u001b[1mwandb\u001b[0m: WARNING ⚠️ wandb is deprecated and will be removed in a future release. See supported integrations at https://github.com/ultralytics/yolov5#integrations.\n\u001b[34m\u001b[1mwandb\u001b[0m: Using wandb-core as the SDK backend. Please refer to https://wandb.me/wandb-core for more information.\n\u001b[34m\u001b[1mwandb\u001b[0m: (1) Create a W&B account\n\u001b[34m\u001b[1mwandb\u001b[0m: (2) Use an existing W&B account\n\u001b[34m\u001b[1mwandb\u001b[0m: (3) Don't visualize my results\n\u001b[34m\u001b[1mwandb\u001b[0m: Enter your choice: (30 second timeout) \n\u001b[34m\u001b[1mwandb\u001b[0m: W&B disabled due to login timeout.\n\u001b[34m\u001b[1mtrain: \u001b[0mweights=yolov5s.pt, cfg=, data=/kaggle/working/yolov5/dataset.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=50, batch_size=32, imgsz=416, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, evolve_population=data/hyps, resume_evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs/train, name=exp, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest, ndjson_console=False, ndjson_file=False\n\u001b[34m\u001b[1mgithub: \u001b[0mup to date with https://github.com/ultralytics/yolov5 ✅\nYOLOv5 🚀 v7.0-388-g882c35fc Python-3.10.14 torch-2.4.0 CUDA:0 (Tesla T4, 15095MiB)\n\n\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0\n\u001b[34m\u001b[1mComet: \u001b[0mrun 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet\n\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\nDownloading https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf to /root/.config/Ultralytics/Arial.ttf...\n100%|████████████████████████████████████████| 755k/755k [00:00<00:00, 21.1MB/s]\nDownloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s.pt to yolov5s.pt...\n100%|███████████████████████████████████████| 14.1M/14.1M [00:00<00:00, 162MB/s]\n\nOverriding model.yaml nc=80 with nc=2\n\n from n params module arguments \n 0 -1 1 3520 models.common.Conv [3, 32, 6, 2, 2] \n 1 -1 1 18560 models.common.Conv [32, 64, 3, 2] \n 2 -1 1 18816 models.common.C3 [64, 64, 1] \n 3 -1 1 73984 models.common.Conv [64, 128, 3, 2] \n 4 -1 2 115712 models.common.C3 [128, 128, 2] \n 5 -1 1 295424 models.common.Conv [128, 256, 3, 2] \n 6 -1 3 625152 models.common.C3 [256, 256, 3] \n 7 -1 1 1180672 models.common.Conv [256, 512, 3, 2] \n 8 -1 1 1182720 models.common.C3 [512, 512, 1] \n 9 -1 1 656896 models.common.SPPF [512, 512, 5] \n 10 -1 1 131584 models.common.Conv [512, 256, 1, 1] \n 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n 12 [-1, 6] 1 0 models.common.Concat [1] \n 13 -1 1 361984 models.common.C3 [512, 256, 1, False] \n 14 -1 1 33024 models.common.Conv [256, 128, 1, 1] \n 15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n 16 [-1, 4] 1 0 models.common.Concat [1] \n 17 -1 1 90880 models.common.C3 [256, 128, 1, False] \n 18 -1 1 147712 models.common.Conv [128, 128, 3, 2] \n 19 [-1, 14] 1 0 models.common.Concat [1] \n 20 -1 1 296448 models.common.C3 [256, 256, 1, False] \n 21 -1 1 590336 models.common.Conv [256, 256, 3, 2] \n 22 [-1, 10] 1 0 models.common.Concat [1] \n 23 -1 1 1182720 models.common.C3 [512, 512, 1, False] \n 24 [17, 20, 23] 1 18879 models.yolo.Detect [2, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]\nModel summary: 214 layers, 7025023 parameters, 7025023 gradients, 16.0 GFLOPs\n\nTransferred 343/349 items from yolov5s.pt\n/kaggle/working/yolov5/models/common.py:892: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n with amp.autocast(autocast):\n/kaggle/working/yolov5/models/common.py:892: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n with amp.autocast(autocast):\n\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.0005), 60 bias\nWARNING ⚠️ DP not recommended, use torch.distributed.run for best DDP Multi-GPU results.\nSee Multi-GPU Tutorial at https://docs.ultralytics.com/yolov5/tutorials/multi_gpu_training to get started.\n\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, num_output_channels=3, method='weighted_average'), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n self.pid = os.fork()\n\u001b[34m\u001b[1mtrain: \u001b[0mScanning /kaggle/input/datasetpair/dataset/labels/train... 24000 images, \u001b[0m\n\u001b[34m\u001b[1mtrain: \u001b[0mWARNING ⚠️ Cache directory /kaggle/input/datasetpair/dataset/labels is not writeable: [Errno 30] Read-only file system: '/kaggle/input/datasetpair/dataset/labels/train.cache.npy'\n\u001b[34m\u001b[1mval: \u001b[0mScanning /kaggle/input/datasetpair/dataset/labels/val... 6000 images, 0 bac\u001b[0m\n\u001b[34m\u001b[1mval: \u001b[0mWARNING ⚠️ Cache directory /kaggle/input/datasetpair/dataset/labels is not writeable: [Errno 30] Read-only file system: '/kaggle/input/datasetpair/dataset/labels/val.cache.npy'\n\n\u001b[34m\u001b[1mAutoAnchor: \u001b[0m6.05 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅\nPlotting labels to runs/train/exp/labels.jpg... \n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/kaggle/working/yolov5/train.py:355: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.\n scaler = torch.cuda.amp.GradScaler(enabled=amp)\nImage sizes 416 train, 416 val\nUsing 2 dataloader workers\nLogging results to \u001b[1mruns/train/exp\u001b[0m\nStarting training for 50 epochs...\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 0%| | 0/750 [00:00, ?it/s]/kaggle/working/yolov5/train.py:412: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n with torch.cuda.amp.autocast(amp):\n/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/parallel_apply.py:79: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n with torch.cuda.device(device), torch.cuda.stream(stream), autocast(enabled=autocast_enabled):\n 0/49 1.53G 0.1252 0.02491 0.03186 137 416: /kaggle/working/yolov5/train.py:412: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n with torch.cuda.amp.autocast(amp):\n/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/parallel_apply.py:79: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n with torch.cuda.device(device), torch.cuda.stream(stream), autocast(enabled=autocast_enabled):\n 0/49 1.57G 0.05424 0.02568 0.01377 125 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.983 0.959 0.983 0.624\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 1/49 2.09G 0.03808 0.01852 0.005352 143 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.988 0.977 0.991 0.689\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 2/49 2.09G 0.03414 0.01747 0.004671 124 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.985 0.976 0.991 0.712\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 3/49 2.09G 0.02941 0.0166 0.004198 120 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.99 0.981 0.993 0.743\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 4/49 2.09G 0.02725 0.01591 0.003736 122 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.992 0.984 0.993 0.756\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 5/49 2.09G 0.02618 0.01553 0.003552 134 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.993 0.984 0.993 0.767\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 6/49 2.09G 0.02555 0.01528 0.003496 137 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.993 0.984 0.993 0.775\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 7/49 2.09G 0.02515 0.01515 0.003401 145 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.994 0.987 0.994 0.774\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 8/49 2.09G 0.02471 0.01492 0.003313 137 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.995 0.985 0.994 0.781\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 9/49 2.09G 0.02437 0.01472 0.003299 127 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.995 0.986 0.994 0.783\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 10/49 2.09G 0.0241 0.0147 0.003188 133 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.995 0.988 0.994 0.787\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 11/49 2.09G 0.02399 0.01457 0.003162 117 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.994 0.988 0.994 0.791\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 12/49 2.09G 0.02371 0.01448 0.003136 142 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.995 0.989 0.994 0.791\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 13/49 2.09G 0.02353 0.01442 0.003074 130 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.994 0.99 0.994 0.793\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 14/49 2.09G 0.02337 0.01435 0.00305 112 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.989 0.994 0.797\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 15/49 2.09G 0.02328 0.01427 0.003031 126 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.995 0.989 0.994 0.799\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 16/49 2.09G 0.02309 0.01428 0.003023 113 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.989 0.994 0.8\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 17/49 2.09G 0.02291 0.01419 0.002945 144 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.99 0.994 0.803\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 18/49 2.09G 0.0228 0.01404 0.002946 119 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.99 0.994 0.804\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 19/49 2.09G 0.02268 0.01402 0.002944 126 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.995 0.991 0.994 0.802\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 20/49 2.09G 0.02246 0.01392 0.0029 116 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.806\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 21/49 2.09G 0.02246 0.01395 0.002911 134 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.995 0.991 0.994 0.805\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 22/49 2.09G 0.02235 0.01382 0.002883 140 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.995 0.99 0.994 0.807\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 23/49 2.09G 0.02225 0.01383 0.002877 125 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.99 0.994 0.808\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 24/49 2.09G 0.02219 0.01382 0.002866 111 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.995 0.991 0.994 0.809\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 25/49 2.09G 0.02205 0.01371 0.00288 145 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.81\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 26/49 2.09G 0.02197 0.01368 0.002835 135 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.81\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 27/49 2.09G 0.0218 0.01351 0.002802 151 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.812\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 28/49 2.09G 0.02174 0.01352 0.002781 124 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.99 0.994 0.813\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 29/49 2.09G 0.0216 0.01353 0.002782 142 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.813\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 30/49 2.09G 0.02145 0.01352 0.002741 147 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.813\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 31/49 2.09G 0.02145 0.01339 0.002745 139 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.815\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 32/49 2.09G 0.02138 0.0134 0.002761 131 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.815\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 33/49 2.09G 0.02128 0.01336 0.002727 151 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.992 0.994 0.816\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 34/49 2.09G 0.02111 0.01329 0.002682 139 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.816\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 35/49 2.09G 0.02109 0.0133 0.002674 136 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.817\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 36/49 2.09G 0.02101 0.01322 0.002678 130 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.817\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 37/49 2.09G 0.02084 0.01311 0.002672 133 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.817\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 38/49 2.09G 0.02075 0.01302 0.002639 127 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.992 0.994 0.818\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 39/49 2.09G 0.02074 0.01308 0.002655 145 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.992 0.994 0.818\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 40/49 2.09G 0.02047 0.01287 0.002592 128 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.992 0.994 0.818\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 41/49 2.09G 0.02044 0.01289 0.002584 124 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.992 0.994 0.819\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 42/49 2.09G 0.02029 0.01284 0.002548 123 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.819\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 43/49 2.09G 0.02038 0.01284 0.002579 130 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.992 0.994 0.82\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 44/49 2.09G 0.0202 0.01278 0.002527 137 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.992 0.994 0.82\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 45/49 2.09G 0.02003 0.01267 0.002522 143 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.821\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 46/49 2.09G 0.01998 0.01265 0.002536 124 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.821\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 47/49 2.09G 0.01986 0.0126 0.002499 151 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.821\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 48/49 2.09G 0.01971 0.01255 0.002488 133 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.991 0.994 0.822\n\n Epoch GPU_mem box_loss obj_loss cls_loss Instances Size\n 49/49 2.09G 0.01969 0.01249 0.002482 153 416: 1\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.992 0.994 0.822\n\n50 epochs completed in 4.788 hours.\nOptimizer stripped from runs/train/exp/weights/last.pt, 14.3MB\nOptimizer stripped from runs/train/exp/weights/best.pt, 14.3MB\n\nValidating runs/train/exp/weights/best.pt...\nFusing layers... \nModel summary: 157 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs\n Class Images Instances P R mAP50 \n all 6000 12000 0.996 0.992 0.994 0.822\n black 6000 6000 0.995 0.992 0.994 0.822\n white 6000 6000 0.997 0.992 0.994 0.822\nResults saved to \u001b[1mruns/train/exp\u001b[0m\ncp: cannot create regular file '/kaggle/outputs/best.pt': No such file or directory\ncp: cannot create regular file '/kaggle/input/best.pt': Read-only file system\n","output_type":"stream"}],"execution_count":5},{"cell_type":"code","source":"!zip -r /kaggle/working/saved_models.zip /kaggle/working","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-01T00:22:36.045247Z","iopub.execute_input":"2024-12-01T00:22:36.045649Z","iopub.status.idle":"2024-12-01T00:22:39.865457Z","shell.execute_reply.started":"2024-12-01T00:22:36.045602Z","shell.execute_reply":"2024-12-01T00:22:39.864611Z"},"collapsed":true,"jupyter":{"outputs_hidden":true}},"outputs":[{"name":"stdout","text":" adding: kaggle/working/ (stored 0%)\n adding: kaggle/working/yolov5/ (stored 0%)\n adding: kaggle/working/yolov5/runs/ (stored 0%)\n adding: kaggle/working/yolov5/runs/train/ (stored 0%)\n adding: kaggle/working/yolov5/runs/train/exp/ (stored 0%)\n adding: kaggle/working/yolov5/runs/train/exp/results.png (deflated 10%)\n adding: 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FileLink\n\nFileLink('/kaggle/working/saved_models.zip')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-01T00:25:15.641269Z","iopub.execute_input":"2024-12-01T00:25:15.641657Z","iopub.status.idle":"2024-12-01T00:25:15.651442Z","shell.execute_reply.started":"2024-12-01T00:25:15.641616Z","shell.execute_reply":"2024-12-01T00:25:15.650389Z"}},"outputs":[{"execution_count":14,"output_type":"execute_result","data":{"text/plain":"/kaggle/working/saved_models.zip","text/html":"/kaggle/working/saved_models.zip
"},"metadata":{}}],"execution_count":14},{"cell_type":"code","source":"!python /kaggle/working/yolov5/detect.py --weights /kaggle/input/yolomodel/best.pt --source /kaggle/input/datasetpair/dataset/images/val --img 416 --conf 0.5 --save-txt --save-conf","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-01T19:15:51.413733Z","iopub.execute_input":"2024-12-01T19:15:51.414124Z","iopub.status.idle":"2024-12-01T19:17:35.222527Z","shell.execute_reply.started":"2024-12-01T19:15:51.414084Z","shell.execute_reply":"2024-12-01T19:17:35.221472Z"},"collapsed":true,"jupyter":{"outputs_hidden":true}},"outputs":[{"name":"stdout","text":"\u001b[34m\u001b[1mdetect: \u001b[0mweights=['/kaggle/input/yolomodel/best.pt'], source=/kaggle/input/datasetpair/dataset/images/val, data=data/coco128.yaml, imgsz=[416, 416], conf_thres=0.5, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=True, save_format=0, save_csv=False, save_conf=True, save_crop=False, nosave=False, classes=None, 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/kaggle/input/datasetpair/dataset/images/val/MARS_top_14978.jpg: 256x416 1 black, 1 white, 5.4ms\nimage 5993/6000 /kaggle/input/datasetpair/dataset/images/val/MARS_top_14981.jpg: 256x416 1 black, 1 white, 6.0ms\nimage 5994/6000 /kaggle/input/datasetpair/dataset/images/val/MARS_top_14985.jpg: 256x416 1 black, 1 white, 5.5ms\nimage 5995/6000 /kaggle/input/datasetpair/dataset/images/val/MARS_top_14986.jpg: 256x416 1 black, 1 white, 5.5ms\nimage 5996/6000 /kaggle/input/datasetpair/dataset/images/val/MARS_top_14989.jpg: 256x416 1 black, 1 white, 6.2ms\nimage 5997/6000 /kaggle/input/datasetpair/dataset/images/val/MARS_top_14993.jpg: 256x416 1 black, 1 white, 5.4ms\nimage 5998/6000 /kaggle/input/datasetpair/dataset/images/val/MARS_top_14996.jpg: 256x416 1 black, 1 white, 5.4ms\nimage 5999/6000 /kaggle/input/datasetpair/dataset/images/val/MARS_top_14998.jpg: 256x416 1 black, 1 white, 5.4ms\nimage 6000/6000 /kaggle/input/datasetpair/dataset/images/val/MARS_top_14999.jpg: 256x416 1 black, 1 white, 5.5ms\nSpeed: 0.2ms pre-process, 5.6ms inference, 1.0ms NMS per image at shape (1, 3, 416, 416)\nResults saved to \u001b[1mruns/detect/exp3\u001b[0m\n5999 labels saved to runs/detect/exp3/labels\n","output_type":"stream"}],"execution_count":5},{"cell_type":"code","source":"!zip -r /kaggle/working/predictions.zip /kaggle/working/yolov5/runs/detect/exp3/labels","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-01T19:17:35.224600Z","iopub.execute_input":"2024-12-01T19:17:35.225597Z","iopub.status.idle":"2024-12-01T19:17:36.674767Z","shell.execute_reply.started":"2024-12-01T19:17:35.225552Z","shell.execute_reply":"2024-12-01T19:17:36.673453Z"},"collapsed":true,"jupyter":{"outputs_hidden":true}},"outputs":[{"name":"stdout","text":" adding: kaggle/working/yolov5/runs/detect/exp3/labels/ (stored 0%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_02954.txt (deflated 33%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_02571.txt (deflated 30%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_05599.txt (deflated 30%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_13258.txt (deflated 28%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_14017.txt (deflated 33%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_08158.txt (deflated 28%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_13624.txt (deflated 31%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_06758.txt (deflated 29%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_13351.txt (deflated 30%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_11070.txt (deflated 30%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_14552.txt (deflated 30%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_09913.txt (deflated 32%)\n adding: 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adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_10301.txt (deflated 29%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_04614.txt (deflated 30%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_01396.txt (deflated 34%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_03138.txt (deflated 33%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_09888.txt (deflated 29%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_02219.txt (deflated 29%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_12835.txt (deflated 28%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_03429.txt (deflated 32%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_06274.txt (deflated 31%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_03155.txt (deflated 34%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_07002.txt (deflated 30%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_08069.txt (deflated 33%)\n adding: kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_08080.txt (deflated 30%)\n","output_type":"stream"}],"execution_count":6},{"cell_type":"code","source":"!unzip -l /kaggle/working/predictions.zip","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-01T19:17:36.676409Z","iopub.execute_input":"2024-12-01T19:17:36.676867Z","iopub.status.idle":"2024-12-01T19:17:37.840331Z","shell.execute_reply.started":"2024-12-01T19:17:36.676812Z","shell.execute_reply":"2024-12-01T19:17:37.839092Z"}},"outputs":[{"name":"stdout","text":"Archive: /kaggle/working/predictions.zip\n Length Date Time Name\n--------- ---------- ----- ----\n 0 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/\n 89 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_02954.txt\n 88 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_02571.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_05599.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_13258.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_14017.txt\n 78 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_08158.txt\n 89 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_13624.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_06758.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_13351.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_11070.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_14552.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_09913.txt\n 92 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_04723.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_02212.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_13536.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_11285.txt\n 93 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_14854.txt\n 92 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_09509.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_08421.txt\n 78 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_06525.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_12055.txt\n 93 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_05059.txt\n 79 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_06815.txt\n 93 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_12784.txt\n 92 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_00812.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_04346.txt\n 81 2024-12-01 19:15 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_00729.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_08034.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_13076.txt\n 93 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_14377.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_02891.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_04243.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_09989.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_01532.txt\n 92 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_11014.txt\n 82 2024-12-01 19:16 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kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_03605.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_14681.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_14170.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_02987.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_06567.txt\n 92 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_04730.txt\n 93 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_03221.txt\n 91 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_11865.txt\n 92 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_08857.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_10734.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_14672.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_09651.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_12578.txt\n 88 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_08588.txt\n 91 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_10336.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_14782.txt\n 93 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_13711.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_12195.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_09537.txt\n 91 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_13642.txt\n 87 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_03214.txt\n 93 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_12269.txt\n 80 2024-12-01 19:15 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_00167.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_13273.txt\n 92 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_00664.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_02218.txt\n 89 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_05422.txt\n 92 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_10171.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_10177.txt\n 79 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_14567.txt\n 93 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_09120.txt\n 92 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_00571.txt\n 80 2024-12-01 19:15 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_00569.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_11078.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_03686.txt\n 93 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_10366.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_11244.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_08771.txt\n 90 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_02960.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_01110.txt\n 90 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_04831.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_14156.txt\n 88 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_02213.txt\n 88 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_12426.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_10301.txt\n 80 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_04614.txt\n 94 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_01396.txt\n 94 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_03138.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_09888.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_02219.txt\n 78 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_12835.txt\n 91 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_03429.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_06274.txt\n 92 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_03155.txt\n 82 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_07002.txt\n 94 2024-12-01 19:17 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_top_08069.txt\n 81 2024-12-01 19:16 kaggle/working/yolov5/runs/detect/exp3/labels/MARS_front_08080.txt\n--------- -------\n 517044 6000 files\n","output_type":"stream"}],"execution_count":7},{"cell_type":"code","source":"!ls -lh /kaggle/working/saved_models.zip","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-01T00:31:06.132841Z","iopub.execute_input":"2024-12-01T00:31:06.133163Z","iopub.status.idle":"2024-12-01T00:31:07.151528Z","shell.execute_reply.started":"2024-12-01T00:31:06.133132Z","shell.execute_reply":"2024-12-01T00:31:07.150394Z"}},"outputs":[{"name":"stdout","text":"-rw-r--r-- 1 root root 59M Dec 1 00:22 /kaggle/working/saved_models.zip\n","output_type":"stream"}],"execution_count":20},{"cell_type":"code","source":"from IPython.display import FileLink\n\nFileLink('/kaggle/working/predictions.zip')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-01T00:31:07.153114Z","iopub.execute_input":"2024-12-01T00:31:07.153483Z","iopub.status.idle":"2024-12-01T00:31:07.160941Z","shell.execute_reply.started":"2024-12-01T00:31:07.153442Z","shell.execute_reply":"2024-12-01T00:31:07.159934Z"}},"outputs":[{"execution_count":21,"output_type":"execute_result","data":{"text/plain":"/kaggle/working/predictions.zip","text/html":"/kaggle/working/predictions.zip
"},"metadata":{}}],"execution_count":21}]}
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