update PULC_attr_en docs
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@ -131,6 +131,27 @@ print(next(result))
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[{'attributes': ['Male', 'Age18-60', 'Back', 'Glasses: False', 'Hat: False', 'HoldObjectsInFront: False', 'Backpack', 'Upper: LongSleeve UpperPlaid', 'Lower: Trousers', 'No boots'], 'output': [0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1], 'filename': 'pulc_demo_imgs/person_attribute/090004.jpg'}]
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```
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**Note**: The `output` value index 0 means whether to wear a hat, index value 1 means whether to wear glasses, index value 2-7 means top style, index value means bottom style, index value 14 means whether to wear boots, index value 15-17 means the type of bag on the back, index value 18 means whether the front is holding something, index value 19-21 means age, index value 22 means gender, and index value 23-25 means direction. For details, see [code](../../../ppcls/data/postprocess/attr_rec.py#L84). Specifically, person attribute include the following types:
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```
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- Gender: Male Female
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- Age: AgeLess18, Age18-60, AgeOver60
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- Direction: Front, Side, Back
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- Accessories: glasses, hat, none
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- Front holding: yes, no
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- Bags: Backpack, Shoulder, Handbag
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- Upper styles: UpperStride, UpperLogo, UpperPlaid, UpperSplice
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- Lower style: LowerStripe, LowerPattern
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- Short sleeved: yes, no
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- Long sleeved: yes, no
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- Long coat: yes, no
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- Trousers: yes, no
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- Shorts: yes, no
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- Skirts & Skirts: Yes, No
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- Wear boots: yes, no
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```
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<a name="3"></a>
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## 3. Training, Evaluation and Inference
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@ -132,6 +132,8 @@ print(next(result))
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[{'attributes': 'Color: (yellow, prob: 0.9893476963043213), Type: (hatchback, prob: 0.9734097719192505)', 'output': [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 'filename': 'pulc_demo_imgs/vehicle_attribute/0002_c002_00030670_0.jpg'}]
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```
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**Note**: The value index of `output` is 0-9 to indicate the color attribute, and the corresponding colors are: yellow, orange, green, gray, red, blue, white, golden, brown, black; the index is 10-18 to represent the model attributes, the corresponding models are sedan, suv, van, hatchback, mpv, pickup, bus, truck, estate.
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<a name="3"></a>
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## 3. Training, Evaluation and Inference
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@ -132,7 +132,7 @@ print(next(result))
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[{'attributes': 'Color: (yellow, prob: 0.9893476963043213), Type: (hatchback, prob: 0.9734097719192505)', 'output': [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], 'filename': 'pulc_demo_imgs/vehicle_attribute/0002_c002_00030670_0.jpg'}]
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```
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**备注**:其中 `output` 的值索引为0-9表示颜色属性,对应的颜色分别是:yellow(黄色), orange(橙色), green(绿色), gray(灰色), red(灰色), blue(蓝色), white(白色), golden(金色), brown(棕色), black(黑色);索引为10-18表示车型属性,对应的车型分别是sedan(轿车), suv(越野车), van(面包车), hatchback(掀背车), mpv(多用途汽车), pickup(皮卡车), bus(公共汽车), truck(卡车), estate(旅行车)。
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**备注**:其中 `output` 的值索引为0-9表示颜色属性,对应的颜色分别是:yellow(黄色), orange(橙色), green(绿色), gray(灰色), red(红色), blue(蓝色), white(白色), golden(金色), brown(棕色), black(黑色);索引为10-18表示车型属性,对应的车型分别是sedan(轿车), suv(越野车), van(面包车), hatchback(掀背车), mpv(多用途汽车), pickup(皮卡车), bus(公共汽车), truck(卡车), estate(旅行车)。
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<a name="3"></a>
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