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Hi,
thanks for your interest!
You can refer to the code below for visual analysis.
def plot_seg_result(img, mask, type=None, size=500, alpha=0.5, anns='mask'): assert type in ['red', 'blue', 'yellow'] if type == 'red': color = (255, 50, 50) # red (255, 50, 50) (255, 90, 90) (252, 60, 60) elif type == 'blue': color = (90, 90, 218) # blue (102, 140, 255) (90, 90, 218) (90, 154, 218) elif type == 'yellow': color = (255, 218, 90) # yellow color_scribble = (255, 218, 90) # (255, 218, 90) (0, 0, 255) img_pre = img.copy() if anns == 'mask': for c in range(3): img_pre[:, :, c] = np.where(mask[:,:,0] == 1, img[:, :, c] * (1 - alpha) + alpha * color[c], img[:, :, c]) elif anns == 'scribble': mask[mask==255]=0 mask = mask[:,:,0] dilated_size = 5 Scribble_Expert = ScribblesRobot() scribble_mask = Scribble_Expert.generate_scribbles(mask) scribble_mask = ndimage.maximum_filter(scribble_mask, size=dilated_size) # for c in range(3): img_pre[:, :, c] = np.where(scribble_mask == 1, color_scribble[c], img[:, :, c]) elif anns == 'bbox': mask[mask==255]=0 mask = mask[:,:,0] bboxs = find_bbox(mask) for j in bboxs: cv2.rectangle(img_pre, (j[0], j[1]), (j[0] + j[2], j[1] + j[3]), (255, 0, 0), 4) # -1->fill; 2->draw_rec img_pre = cv2.cvtColor(img_pre, cv2.COLOR_RGB2BGR) if size is not None: img_pre = cv2.resize(img_pre, dsize=(size, size), interpolation=cv2.INTER_LINEAR) return img_pre
Originally posted by @chunbolang in #13 (comment)
The text was updated successfully, but these errors were encountered:
i wanna know where is the definition of function ScribblesRobot() when anns mode is 'scribble'
Sorry, something went wrong.
Sorry for the late reply.
This function is not provided as it is not very relevant to our work, and you can refer to this link for the function ScribblesRobot().
ScribblesRobot()
Best,
No branches or pull requests
thanks for your interest!
You can refer to the code below for visual analysis.
Originally posted by @chunbolang in #13 (comment)
The text was updated successfully, but these errors were encountered: