[10/21 20:36:02] ppdet.utils.checkpoint INFO: Finish loading model weights: /home/aistudio/.cache/paddle/weights/ppyolo_r50vd_dcn_1x_coco.pdparams
[10/21 20:36:02] ppdet.data.source.category WARNING: anno_file 'dataset/coco/annotations/instances_val2017.json' is None or not set or not exist, please recheck TrainDataset/EvalDataset/TestDataset.anno_path, otherwise the default categories will be used by metric_type.
[10/21 20:36:02] ppdet.data.source.category WARNING: metric_type: COCO, load default categories of COCO.
100%|█████████████████████████████████████████████| 1/1 [00:03<00:00, 3.69s/it]
Traceback (most recent call last):
File "/home/aistudio/PaddleDetection/tools/infer.py", line 226, in
main()
File "/home/aistudio/PaddleDetection/tools/infer.py", line 222, in main
run(FLAGS, cfg)
File "/home/aistudio/PaddleDetection/tools/infer.py", line 182, in run
trainer.predict(
File "/home/aistudio/PaddleDetection/ppdet/engine/trainer.py", line 924, in predict
image = visualize_results(
File "/home/aistudio/PaddleDetection/ppdet/utils/visualizer.py", line 44, in visualize_results
image = draw_bbox(image, im_id, catid2name, bbox_res, threshold)
File "/home/aistudio/PaddleDetection/ppdet/utils/visualizer.py", line 106, in draw_bbox
draw.line(
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/PIL/ImageDraw.py", line 170, in line
ink = self._getink(fill)[0]
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/PIL/ImageDraw.py", line 128, in _getink
ink = self.draw.draw_ink(ink)
TypeError: 'numpy.float32' object cannot be interpreted as an integer