init

DFUC22_train_validation_split.py

@@ -0,0 +1,40 @@
+import glob
+import os
+import shutil
+from sklearn.model_selection import train_test_split
+
+# Define the directories where images and masks are stored of the DFUC2022 dataset
+DATA_DIR = "/raid/DFUC24/datasets/dfuc2022/clean_thr0/"  
+IMAGE_DIR = os.path.join(DATA_DIR, "images/")
+MASK_DIR = os.path.join(DATA_DIR, "labels/")
+
+# Load image and mask filenames from disk
+image_files = sorted(glob.glob(os.path.join(IMAGE_DIR, '*.png')))
+mask_files = sorted(glob.glob(os.path.join(MASK_DIR, '*.png')))
+
+# Split image and mask filenames into train and valid subsets using sklearn train_test_split
+train_image_files, valid_image_files, train_mask_files, valid_mask_files = train_test_split(
+    image_files, mask_files, test_size=0.15, random_state=42
+) # random_state=42 for reproducibility of the split
+
+# Create directories for train and valid subsets
+SEP_DIR = "/raid/DFUC24/datasets/dfuc2022/sep/"
+os.makedirs(os.path.join(SEP_DIR, 'images/train'), exist_ok=True)
+os.makedirs(os.path.join(SEP_DIR, 'images/valid'), exist_ok=True)
+os.makedirs(os.path.join(SEP_DIR, 'labels/train'), exist_ok=True)
+os.makedirs(os.path.join(SEP_DIR, 'labels/valid'), exist_ok=True)
+
+# Function to copy files to the respective directories
+def copy_files(files, destination_dir):
+    for file in files:
+        file_name = os.path.basename(file)  # Extract the file name from the full path
+        dest_path = os.path.join(destination_dir, file_name)  # Create the destination path
+        shutil.copy(file, dest_path)  # Copy the file to the destination
+
+# Copy the files to the respective train and valid directories
+copy_files(train_image_files, os.path.join(SEP_DIR, 'images/train'))
+copy_files(valid_image_files, os.path.join(SEP_DIR, 'images/valid'))
+copy_files(train_mask_files, os.path.join(SEP_DIR, 'labels/train'))
+copy_files(valid_mask_files, os.path.join(SEP_DIR, 'labels/valid'))
+
+print("DFUC22 dataset have been split and files have been copied successfully.")

DinoV2/models/dinov2_linear_probing/model_epoch149.pth

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+version https://git-lfs.github.com/spec/v1
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+size 4546171296

DinoV2/models/dinov2_linear_probing/mp_scaler_epoch149.pth

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+version https://git-lfs.github.com/spec/v1
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+size 1036

DinoV2/models/dinov2_linear_probing/optimizer_epoch149.pth

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+version https://git-lfs.github.com/spec/v1
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+size 15158

DinoV2/models/dinov2_linear_probing/test_predictions.zip

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+version https://git-lfs.github.com/spec/v1
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+size 1818407

DinoV2/models/dinov2_linear_probing/test_submission_results.json

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+{
+  "case": {},
+  "aggregates": {
+    "MeanOverlap": 0.6326598835925462,
+    "UnionOverlap": 0.5204181946504092,
+    "DiceCoefficient": 0.6326598835925462,
+    "VolumeSimilarity": -0.004170116188536522,
+    "FalseNegativeError": 0.31436990244395846,
+    "FalsePositiveError": 0.2799126990716622,
+    "JaccardCoefficient": 0.5204181946504092
+  }
+}

DinoV2/models/dinov2_linear_probing/training_logs.csv

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DinoV2/models/dinov2_multi_nonelinear_probing/validation_metrics.json

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+{"cm": [[77000977, 386475], [179797, 1588331]], "dice": 0.8487090468406677, "iou": 0.7371803522109985, "precision": 0.8042972087860107, "recall": 0.8983122110366821, "fpv": 0.004994026385247707, "fnv": 0.10168777406215668, "ncm": [[0.9950059056282043, 0.004994026385247707], [0.10168777406215668, 0.8983122110366821]]}

GroundedDINO + SAM/models/GroundingDino + SAM/GD_SAM (vanilla)/gd_validation_metrics.json

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GroundedDINO + SAM/models/GroundingDino + SAM/GD_SAM (vanilla)/sam_validation_metrics.json

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GroundedDINO + SAM/models/GroundingDino + SAM/GD_SAM (vanilla)/test_predictions.zip

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+size 3275796

GroundedDINO + SAM/models/GroundingDino + SAM/GD_SAM (vanilla)/test_submission_results.json

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+{
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+    "FalsePositiveError": 0.12265347430900997,
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+}

GroundedDINO + SAM/models/GroundingDino + SAM/GD_SAMfinetune (GD vanilla, SAM fine-tuned)/gd_validation_metrics.json

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GroundedDINO + SAM/models/GroundingDino + SAM/GD_SAMfinetune (GD vanilla, SAM fine-tuned)/sam_validation_metrics.json

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GroundedDINO + SAM/models/GroundingDino + SAM/GD_SAMfinetune (GD vanilla, SAM fine-tuned)/test_predictions.zip

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GroundedDINO + SAM/models/GroundingDino + SAM/GD_SAMfinetune (GD vanilla, SAM fine-tuned)/test_submission_results.json

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+{
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+}

GroundedDINO + SAM/models/GroundingDino + SAM/GDfinetune_SAM (GD fine-tuned, SAM vanilla)/gd_validation_metrics.json

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GroundedDINO + SAM/models/GroundingDino + SAM/GDfinetune_SAM (GD fine-tuned, SAM vanilla)/sam_validation_metrics.json

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GroundedDINO + SAM/models/GroundingDino + SAM/GDfinetune_SAM (GD fine-tuned, SAM vanilla)/test_predictions.zip

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+version https://git-lfs.github.com/spec/v1
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GroundedDINO + SAM/models/GroundingDino + SAM/GDfinetune_SAM (GD fine-tuned, SAM vanilla)/test_submission_results.json

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+{
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+}

GroundedDINO + SAM/models/GroundingDino + SAM/GDfinetune_SAMfinetune (GD fine-tuned, SAM fine-tuned)/gd_validation_metrics.json

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