Add application file
Browse files
app.py
CHANGED
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@@ -81,8 +81,6 @@ def plot_depth(nor_hist):
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modulate1 = np.arange(1, 181)
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modulate = (modulate1 * modulate1) / (180 * 180)
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arr = output[:, :, :180] * modulate[np.newaxis, np.newaxis, :]
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tc_bin = np.sum(arr, axis=(0,1))
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max_id = np.argmax(tc_bin[:-2])
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@@ -91,7 +89,8 @@ def plot_depth(nor_hist):
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pad_tail = np.ones(180 - len(pad_head) - len(expand_kernel))
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expand_filter = np.concatenate([pad_head, expand_kernel, pad_tail])
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tof = np.argmax(arr, axis=2)
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tof_filter = np.argmax(arr_expandfilter, axis=2)
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@@ -110,8 +109,8 @@ def plot_depth(nor_hist):
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colored_tof = cv2.applyColorMap(img_tof, cv2.COLORMAP_VIRIDIS)[:, :, ::-1]
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colored_tof_filter = cv2.applyColorMap(img_filter, cv2.COLORMAP_VIRIDIS)[:, :, ::-1]
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return [img_ref, img_ref_filter]
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with gr.Blocks() as demo:
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modulate1 = np.arange(1, 181)
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modulate = (modulate1 * modulate1) / (180 * 180)
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tc_bin = np.sum(arr, axis=(0,1))
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max_id = np.argmax(tc_bin[:-2])
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pad_tail = np.ones(180 - len(pad_head) - len(expand_kernel))
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expand_filter = np.concatenate([pad_head, expand_kernel, pad_tail])
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arr = output[:, :, :180]
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arr_expandfilter = arr * modulate[np.newaxis, np.newaxis, :]
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tof = np.argmax(arr, axis=2)
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tof_filter = np.argmax(arr_expandfilter, axis=2)
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colored_tof = cv2.applyColorMap(img_tof, cv2.COLORMAP_VIRIDIS)[:, :, ::-1]
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colored_tof_filter = cv2.applyColorMap(img_filter, cv2.COLORMAP_VIRIDIS)[:, :, ::-1]
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return [colored_tof, colored_tof_filter]
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# return [img_ref, img_ref_filter]
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with gr.Blocks() as demo:
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