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change the mask to roi

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MrKarimiD committed 2025-06-05 13:54:13 -04:00
1 parent ccad510a60
commit 2dc7ed1287
1 file changed
+10 -2
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lantern_scripts/mask_humans2.py
+10 -2
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@@ -82,15 +82,23 @@ if __name__ == '__main__':
image_np_rot = (original_image.data * 255).astype(np.uint8)
if folder['mask_person']:
text_prompt = "person"
text_prompt = "person head torso arms legs feet shoes"
# 90 degrees rotat
# image_np_rot = original_image_np # np.rot90(original_image_np, k=folder['flip_k'])
masks, boxes, phrases, logits = model.predict(Image.fromarray(image_np_rot), text_prompt)
masks = masks.detach().cpu().numpy()
boxes = boxes.detach().cpu().numpy()
if masks.size != 0:
# masks = np.rot90(masks, k=-folder['flip_k'], axes=(1, 2))
photographer_mask = np.zeros((masks.shape[1], masks.shape[2], 1), dtype=np.uint8)
for i in range(boxes.shape[0]):
color = (255, 255, 255) # White color in BGR
cv2.rectangle(photographer_mask, (int(boxes[i, 0]), int(boxes[i, 1])), (int(boxes[i, 2]), int(boxes[i, 3])), (255, 255, 255), cv2.FILLED)
mask_skylibs = EnvironmentMap(np.transpose(masks, (1, 2, 0)).astype(np.uint8), 'latlong')
# mask_skylibs = EnvironmentMap(np.transpose(masks, (1, 2, 0)).astype(np.uint8), 'latlong')
mask_skylibs = EnvironmentMap(photographer_mask, 'latlong')
inv_dcm = rotation_matrix(azimuth=0, elevation=0, roll=-np.pi/2)
mask_skylibs.rotate(inv_dcm)
masks = mask_skylibs.data