use contours in videos
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- app-download-image.py +3 -3
- assets/A_001_frames.mp4 +2 -2
- assets/A_003_frames.mp4 +2 -2
- assets/A_004_frames.mp4 +2 -2
- assets/A_005_frames.mp4 +2 -2
- assets/A_006_frames.mp4 +2 -2
- assets/A_007_frames.mp4 +2 -2
- assets/A_008_frames.mp4 +2 -2
- assets/A_010_frames.mp4 +2 -2
- assets/A_011_frames.mp4 +2 -2
- assets/A_012_frames.mp4 +2 -2
- assets/A_013_frames.mp4 +2 -2
- assets/A_014_frames.mp4 +2 -2
- assets/A_016_frames.mp4 +2 -2
- assets/A_019_frames.mp4 +2 -2
- assets/A_020_frames.mp4 +2 -2
- assets/A_021_frames.mp4 +2 -2
- assets/A_022_frames.mp4 +2 -2
- assets/A_023_frames.mp4 +2 -2
- assets/A_024_frames.mp4 +2 -2
- assets/A_025_frames.mp4 +2 -2
- assets/A_026_frames.mp4 +2 -2
- assets/A_027_frames.mp4 +2 -2
- assets/A_028_frames.mp4 +2 -2
- assets/A_029_frames.mp4 +2 -2
- assets/A_032_frames.mp4 +2 -2
- assets/B_002_frames.mp4 +2 -2
- assets/B_003_frames.mp4 +2 -2
- assets/B_006_frames.mp4 +2 -2
- assets/B_007_frames.mp4 +2 -2
- assets/B_008_frames.mp4 +2 -2
- assets/B_010_frames.mp4 +2 -2
- assets/B_012_frames.mp4 +2 -2
- assets/B_017_frames.mp4 +2 -2
- assets/B_019_frames.mp4 +2 -2
- assets/B_021_frames.mp4 +2 -2
- assets/B_022_frames.mp4 +2 -2
- assets/B_023_frames.mp4 +2 -2
- assets/B_024_frames.mp4 +2 -2
- assets/B_025_frames.mp4 +2 -2
- assets/B_026_frames.mp4 +2 -2
- assets/C_001_frames.mp4 +2 -2
- assets/C_004_frames.mp4 +2 -2
- assets/C_005_frames.mp4 +2 -2
- assets/C_006_frames.mp4 +2 -2
- assets/C_008_frames.mp4 +2 -2
- assets/C_009_frames.mp4 +2 -2
- assets/C_010_frames.mp4 +2 -2
- assets/C_011_frames.mp4 +2 -2
- assets/C_012_frames.mp4 +2 -2
app-download-image.py
CHANGED
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@@ -6,6 +6,7 @@ import gradio as gr
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import numpy as np
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import SimpleITK
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from huggingface_hub import hf_hub_download, list_repo_files
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IMAGES_REPO = "LMUK-RADONC-PHYS-RES/TrackRAD2025"
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DATASET_REPO_TYPE = "dataset"
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@@ -66,7 +67,7 @@ def download_image_files(image_file: str) -> dict[str, str]:
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def overlay_labels_on_frames(
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frames_array, labels_array, overlay_color="
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):
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"""
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Overlay binary labels on grayscale frames with a bright color.
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@@ -99,7 +100,6 @@ def overlay_labels_on_frames(
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# Define color mapping
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color_map = {
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"red": (1.0, 0.0, 0.0),
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"green": (0.0, 1.0, 0.0),
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"blue": (0.0, 0.0, 1.0),
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"yellow": (1.0, 1.0, 0.0),
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@@ -118,7 +118,7 @@ def overlay_labels_on_frames(
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overlaid_frames = rgb_frames.copy()
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# Apply overlay where labels are True (assuming binary labels are 0/1 or False/True)
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mask = labels_array.astype(bool)
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# Blend the colors using alpha blending
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overlaid_frames[mask, 0] = (1 - alpha) * rgb_frames[mask, 0] + alpha * r
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import numpy as np
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import SimpleITK
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from huggingface_hub import hf_hub_download, list_repo_files
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from scipy import ndimage
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IMAGES_REPO = "LMUK-RADONC-PHYS-RES/TrackRAD2025"
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DATASET_REPO_TYPE = "dataset"
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def overlay_labels_on_frames(
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frames_array, labels_array, overlay_color="cyan", alpha=1.0
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):
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"""
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Overlay binary labels on grayscale frames with a bright color.
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# Define color mapping
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color_map = {
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"green": (0.0, 1.0, 0.0),
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"blue": (0.0, 0.0, 1.0),
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"yellow": (1.0, 1.0, 0.0),
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overlaid_frames = rgb_frames.copy()
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# Apply overlay where labels are True (assuming binary labels are 0/1 or False/True)
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mask = (ndimage.binary_erosion(labels_array) ^ labels_array).astype(bool)
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# Blend the colors using alpha blending
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overlaid_frames[mask, 0] = (1 - alpha) * rgb_frames[mask, 0] + alpha * r
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assets/A_001_frames.mp4
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