未验证 提交 7b5eac1a 编写于 作者: G gaotingquan

doc: add en doc

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- [PULC Quick Start](docs/en/PULC/PULC_quickstart_en.md)
- [PULC Model Zoo](docs/en/PULC/PULC_model_list_en.md)
- [PULC Classification Model of Someone or Nobody](docs/en/PULC/PULC_person_exists_en.md)
- [PULC Classification Model of Person Attribute](docs/en/PULC/PULC_person_attribute_en.md)
- [PULC Classification Model of Wearing or Unwearing Safety Helmet](docs/en/PULC/PULC_safety_helmet_en.md)
- [PULC Classification Model of Traffic Sing](docs/en/PULC/PULC_traffic_sign_en.md)
- [PULC Classification Model of Vehicle Attribute](docs/en/PULC/PULC_vehicle_attribute_en.md)
- [PULC Classification Model of Containing or Uncontaining Car](docs/en/PULC/PULC_car_exists_en.md)
- [PULC Classification Model of Text Image Orientation](docs/en/PULC/PULC_text_image_orientation_en.md)
- [PULC Classification Model of Textline Orientation](docs/en/PULC/PULC_textline_orientation_en.md)
- [PULC Classification Model of Language](docs/en/PULC/PULC_language_classification_en.md)
- [Quick Start of Recognition](./docs/en/tutorials/quick_start_recognition_en.md)
- [Quick Start of Recognition](./docs/en/quick_start/quick_start_recognition_en.md)
- [Introduction to Image Recognition Systems](#Introduction_to_Image_Recognition_Systems)
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cd ../
```
Run the following command to classify whether there are human in the image `./images/PULC/person_exists/objects365_02035329.jpg`.
Run the following command to classify whether there are humans in the image `./images/PULC/person_exists/objects365_02035329.jpg`.
```shell
# Use the following command to predict with GPU.
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You can also download the data processed directly. And the process script file `deal.py` is also included.
```
cd path_to_PaddleClas
```
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#### 3.2.1 数据集来源
本案例中所使用的所有数据集均为开源数据,`train``val` 集合均为[Objects365 数据](https://www.objects365.org/overview.html)训练集的子集,`ImageNet_val`[ImageNet-1k 数据](https://www.image-net.org/)的验证集。
本案例中所使用的所有数据集均为开源数据,`train``val` 集合均为[Objects365 数据](https://www.objects365.org/overview.html)的子集,`ImageNet_val`[ImageNet-1k 数据](https://www.image-net.org/)的验证集。
<a name="3.2.2"></a>
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