Update app.py
Browse files
app.py
CHANGED
@@ -178,8 +178,8 @@ def infer():
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#print(flow_imgs)
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predicted_flow = list_of_flows[-1][0]
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print(f"predicted flow dtype = {
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print(f"predicted flow shape = {
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flow_img = flow_to_image(predicted_flow).to("cpu")
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# output_folder = "/tmp/" # Update this to the folder of your choice
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@@ -206,7 +206,10 @@ def infer():
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print(f"frame1pil shape: {frame1pil.shape}")
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print(f"frame1pil dtype: {frame1pil.dtype}")
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img.save('frame_input.jpg')
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#print(res)
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return "done", "predicted_flow.jpg", ["flofile.flo"], 'frame_input.jpg'
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####################################
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#print(flow_imgs)
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predicted_flow = list_of_flows[-1][0]
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print(f"predicted flow dtype = {predicted_flow.dtype}")
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print(f"predicted flow shape = {predicted_flow.shape}")
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flow_img = flow_to_image(predicted_flow).to("cpu")
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# output_folder = "/tmp/" # Update this to the folder of your choice
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print(f"frame1pil shape: {frame1pil.shape}")
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print(f"frame1pil dtype: {frame1pil.dtype}")
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img.save('frame_input.jpg')
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print(f"img1_batch: {img1_batch}")
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print(f"img1_batch shape: {img1_batch.shape}")
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print(f"img1_batch dtype: {img1_batch.dtype}")
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#res = get_warp_res(img1_batch, "predicted_flow.jpg", 'warped.png')
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#print(res)
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return "done", "predicted_flow.jpg", ["flofile.flo"], 'frame_input.jpg'
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####################################
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