min_mask_region_area (int):如果>0,后处理将被应用于移除面积小于min_mask_region_area的遮罩中的不连接区域和孔。需要opencv。 output_mode (str):掩模的返回形式。可以是’binary_mask’, ‘uncompressed_rle’, 或者’coco_rle’。coco_rle’需要pycocotools。对于大的分辨率,'binary_mask’可能会消耗大量的...
如果几个分割目标相连为一组,其中小于100px的分割直接移除(min_mask_region_area)(最大的目标小于100px,移除整组分割结果);分割的结果如果有空洞(小于100px)直接填充,带入如下: assertmodein["holes","islands"] correct_holes= mode =="holes"working_mask= (correct_holes ^mask).astype(np.uint8) n_lab...
mask_generator_2 = SamAutomaticMaskGenerator( model=sam, points_per_side=32, pred_iou_thresh=0.86, stability_score_thresh=0.92, crop_n_layers=1, crop_n_points_downscale_factor=2, min_mask_region_area=100, # Requires open-cv to run post-processing) masks2 = mask_generator_2.generate(im...
min_mask_region_area= 400 ) 给定一个样本(位于 的图像sample.filepath),我们可以通过使用 Pillow 读取图像并调用对象generate()的方法来生成掩模SamAutomaticMaskGenerator: 图像= np.array(PIL.Image.open(sample.filepath)) open (sample.filepath)) mask = mask_generator.generate(image) 这些掩码包含 2D“...
image: np.ndarray, min_mask_region_area: int = 0, points_per_side: int = 32, crop_n_layers: int = 0, crop_n_points_downscale_factor: int = 1, crop_overlap_ratio: float = 512 / 1500, box_nms_thresh: float = 0.7, crop_nms_thresh: float = 0.7 ...
crop_n_points_downscale_factor=2, min_mask_region_area=50,#最小mask面积,会使用opencv滤除掉小面积的区域) masks2=mask_generator_2.generate(image)print(len(masks2))#69plt.figure(figsize=(20,20)) plt.imshow(image) show_anns(masks2) plt.axis('off') plt.show()...
image: np.ndarray, min_mask_region_area: int = 0, points_per_side: int = 32, crop_n_layers: int = 0, crop_n_points_downscale_factor: int = 1, crop_overlap_ratio: float = 512 / 1500, box_nms_thresh: float = 0.7, crop_nms_thresh: float = 0.7 ...
eval() mask_generator = SamAutomaticMaskGenerator(mobile_sam, points_per_side=32, pred_iou_thresh=0.86, stability_score_thresh=0.92, crop_n_layers=0, crop_n_points_downscale_factor=2, min_mask_region_area=100, )# Requires open-cv to run post-processing) image = cv2.imread('../...
min_mask_region_area (int):如果>0,后处理将被应用于移除面积小于min_mask_region_area的遮罩中的不连接区域和孔。需要opencv。 output_mode (str):掩模的返回形式。可以是’binary_mask’, ‘uncompressed_rle’, 或者’coco_rle’。coco_rle’需要pycocotools。对于大的分辨率,'binary_mask’可能会消耗大量的...
mask_generator = SamAutomaticMaskGenerator( model=sam, points_per_side=32, pred_iou_thresh=0.9, stability_score_thresh=0.92, crop_n_layers=1, crop_n_points_downscale_factor=2, min_mask_region_area=400 ) For a complete list of allowable parameters, seethis SAM notebook. ...