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tools/eval/README.md

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@@ -22,7 +22,8 @@ Supported datasets:
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- [ICDAR](#icdar2003)
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- [IIIT5K](#iiit5k)
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- [Mini Supervisely](#mini-supervisely)
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- [OTB](#otb)
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-
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## ImageNet
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### Prepare data
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```shell
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python eval.py -m pphumanseg_q -d mini_supervisely -dr /path/to/pphumanseg
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```
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```
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## OTB
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The script is modified based on [PyTracking](https://github.com/visionml/pytracking)
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### Prepare data
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Please download the mini_supervisely data from [here]() which includes the validation dataset and unzip it.. Organize files as follow:
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```shell
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$ tree -L 2 /path/to/otb
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.
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├── Basketball
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│   ├── groundtruth_rect.txt
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│   ├── img
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│   │   ├── xxxx.jpg
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├── Biker
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│   ├── groundtruth_rect.txt
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│   ├── img
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│   │   ├── xxxx.jpg
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.
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.
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.
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├── OTB.json
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```
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### Evaluation
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Run evaluation with the following command:
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```shell
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python eval.py -m dasiamrpn -d OTB -dr /path/to/otb
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```

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