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Update app.py
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app.py
CHANGED
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@@ -58,7 +58,7 @@ def homography_all_detectors(flat_file, persp_file, json_file, xml_file):
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xml_points = parse_xml_points(xml_file.name)
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methods = ["SIFT","ORB","BRISK","KAZE","AKAZE"]
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download_files = []
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for method in methods:
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@@ -82,31 +82,32 @@ def homography_all_detectors(flat_file, persp_file, json_file, xml_file):
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xml_mapped = cv2.perspectiveTransform(xml_points.reshape(-1,1,2),H).reshape(-1,2)
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for px,py in xml_mapped: cv2.circle(xml_gt_img,(int(px),int(py)),5,(0,0,255),-1)
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# Merge 2x2 grid (original
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top = np.hstack([flat_img, match_img])
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bottom = np.hstack([persp_roi, xml_gt_img])
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combined_grid = np.vstack([top, bottom])
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# Save combined grid
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base_name = os.path.splitext(os.path.basename(persp_file))[0]
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file_name = f"{base_name}_{method.lower()}.png"
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cv2.imwrite(file_name, combined_grid)
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download_files.append(file_name)
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while len(download_files)<5: download_files.append(None)
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return
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iface = gr.Interface(
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fn=homography_all_detectors,
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inputs=[
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gr.Image(label="Upload Flat Image",type="filepath"),
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gr.Image(label="Upload Perspective Image",type="filepath"),
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gr.File(label="Upload mockup.json",file_types=[".json"]),
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gr.File(label="Upload XML file",file_types=[".xml"])
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],
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outputs=[
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gr.Gallery(label="Results per Detector",show_label=True),
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gr.File(label="Download SIFT Result"),
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gr.File(label="Download ORB Result"),
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gr.File(label="Download BRISK Result"),
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@@ -114,7 +115,7 @@ iface = gr.Interface(
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gr.File(label="Download AKAZE Result")
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],
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title="Homography ROI Projection with Feature Matching & XML GT",
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description="
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)
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iface.launch()
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xml_points = parse_xml_points(xml_file.name)
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methods = ["SIFT","ORB","BRISK","KAZE","AKAZE"]
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gallery_files = []
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download_files = []
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for method in methods:
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xml_mapped = cv2.perspectiveTransform(xml_points.reshape(-1,1,2),H).reshape(-1,2)
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for px,py in xml_mapped: cv2.circle(xml_gt_img,(int(px),int(py)),5,(0,0,255),-1)
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# Merge 2x2 grid (original resolution)
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top = np.hstack([flat_img, match_img])
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bottom = np.hstack([persp_roi, xml_gt_img])
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combined_grid = np.vstack([top, bottom])
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# Save combined grid as file
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base_name = os.path.splitext(os.path.basename(persp_file))[0]
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file_name = f"{base_name}_{method.lower()}.png"
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cv2.imwrite(file_name, combined_grid)
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gallery_files.append(file_name)
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download_files.append(file_name)
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# Ensure 5 download slots
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while len(download_files)<5: download_files.append(None)
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return gallery_files, download_files[0], download_files[1], download_files[2], download_files[3], download_files[4]
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iface = gr.Interface(
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fn=homography_all_detectors,
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inputs=[
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gr.Image(label="Upload Flat Image", type="filepath"),
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gr.Image(label="Upload Perspective Image", type="filepath"),
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gr.File(label="Upload mockup.json", file_types=[".json"]),
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gr.File(label="Upload XML file", file_types=[".xml"])
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],
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outputs=[
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gr.Gallery(label="Results per Detector", show_label=True),
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gr.File(label="Download SIFT Result"),
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gr.File(label="Download ORB Result"),
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gr.File(label="Download BRISK Result"),
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gr.File(label="Download AKAZE Result")
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],
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title="Homography ROI Projection with Feature Matching & XML GT",
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description="Shows 4 views per detector. Original resolution kept; click on Gallery images to open full."
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)
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iface.launch()
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