yuqilol
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1 month ago 问题一 指令：python tools/predict.py --config configs/ppmattingv2/ppmattingv2-stdc1-human_512.yml --model_path checkpoint/ppmattingv2-stdc1-human_512.pdparams --image_path demo/human.jpg --save_dir ./output/results --fg_estimate True 输出结果：2024-07-10 15:03:57 [INFO] Set device: cpu 2024-07-10 15:03:57 [INFO] Use the following config to build model model: backbone: pretrained: https://bj.bcebos.com/paddleseg/dygraph/PP_STDCNet1.tar.gz type: STDC1 decoder_channels:
- 128
- 96
- 64
- 32
- 16 dpp_merge_type: add dpp_output_channel: 256 head_channel: 8 type: PPMattingV2 2024-07-10 15:03:57 [INFO] Loading pretrained model from https://bj.bcebos.com/paddleseg/dygraph/PP_STDCNet1.tar.gz 2024-07-10 15:03:57 [INFO] There are 145/145 variables loaded into STDCNet. 2024-07-10 15:03:57 [INFO] Number of predict images = 1 2024-07-10 15:03:57 [INFO] Loading pretrained model from checkpoint/ppmattingv2-stdc1-human_512.pdparams 2024-07-10 15:03:57 [INFO] There are 485/485 variables loaded into PPMattingV2. 2024-07-10 15:03:57 [INFO] Start to predict... size : [128, 248] size : [256, 496] 1/1 [==============================] - 1s 1s/step - preprocess_cost: 0.0193 - infer_cost cost: 1.1970 - postprocess_cost: 0.1122
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问题一：我尝试直接使用demo却没有出现结果 问题二：我尝试训练出现trans_info为负值的错误 使用环境：linux 3090 python 3.9 配置环境：Package Version
anyio 4.4.0 astor 0.8.1 Babel 2.15.0 bce-python-sdk 0.9.17 blinker 1.8.2 certifi 2024.7.4 charset-normalizer 3.3.2 click 8.1.7 contourpy 1.2.1 cycler 0.12.1 decorator 5.1.1 exceptiongroup 1.2.1 filelock 3.15.4 Flask 3.0.3 flask-babel 4.0.0 fonttools 4.53.0 future 1.0.0 h11 0.14.0 httpcore 1.0.5 httpx 0.27.0 idna 3.7 imageio 2.34.2 importlib_metadata 8.0.0 importlib_resources 6.4.0 itsdangerous 2.2.0 Jinja2 3.1.4 joblib 1.4.2 kiwisolver 1.4.5 lazy_loader 0.4 llvmlite 0.43.0 MarkupSafe 2.1.5 matplotlib 3.9.0 networkx 3.2.1 numba 0.60.0 numpy 2.0.0 opencv-python 4.10.0.84 opt-einsum 3.3.0 packaging 24.1 paddlepaddle 2.6.1 paddleseg 2.8.0 pandas 2.2.2 pillow 10.4.0 pip 24.0 prettytable 3.10.0 protobuf 5.27.2 psutil 6.0.0 pycryptodome 3.20.0 PyMatting 1.1.12 pyparsing 3.1.2 python-dateutil 2.9.0.post0 pytz 2024.1 PyYAML 6.0.1 rarfile 4.2 requests 2.32.3 scikit-image 0.24.0 scikit-learn 1.5.0 scipy 1.13.1 setuptools 69.5.1 six 1.16.0 sniffio 1.3.1 threadpoolctl 3.5.0 tifffile 2024.7.2 tqdm 4.66.4 typing_extensions 4.12.2 tzdata 2024.1 urllib3 2.2.2 visualdl 2.5.3 wcwidth 0.2.13 Werkzeug 3.0.3 wheel 0.43.0 zipp 3.19.2 ———————————— 问题二报错： Traceback (most recent call last): File "/data1/home/pengyuling/paddle-seg/PaddleSeg-release-2.9/Matting/tools/train.py", line 220, in
main(args)
File "/data1/home/pengyuling/paddle-seg/PaddleSeg-release-2.9/Matting/tools/train.py", line 198, in main
train(
File "/data1/home/pengyuling/paddle-seg/PaddleSeg-release-2.9/Matting/tools/../ppmatting/core/train.py", line 307, in train
metrics_data = evaluate(
File "/data1/home/pengyuling/paddle-seg/PaddleSeg-release-2.9/Matting/tools/../ppmatting/core/val.py", line 120, in evaluate
alpha_pred = reverse_transform(alpha_pred, data['trans_info'])
File "/data1/home/pengyuling/paddle-seg/PaddleSeg-release-2.9/Matting/tools/../ppmatting/core/val.py", line 46, in reverse_transform
alpha = F.interpolate(alpha, [h, w], mode='bilinear')
File "/data1/home/pengyuling/.conda/envs/paddle_seg/lib/python3.9/site-packages/paddle/nn/functional/common.py", line 520, in interpolate
assert (
AssertionError: Each dimension size given in out_shape must be greater than 0.