Add roi pool #35084
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Add roi pool #35084
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| self.boxes = boxes.astype('float32') | ||
| self.boxes_num = np.array([3], dtype=np.int32) | ||
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| def roi_pool_functional(self, output_size): |
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结论正确性，可以 复用
这个文件里的函数，抽取公共函数，进行测试。There was a problem hiding this comment.
好的 正确性在test_value里 有验证具体计算的结果
python/paddle/vision/ops.py
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| 2D-Tensor or 2D-LoDTensor with the shape of [num_boxes,4], the lod level is 1. | ||
| Given as [[x1, y1, x2, y2], ...], (x1, y1) is the top left coordinates, | ||
| and (x2, y2) is the bottom right coordinates. | ||
| boxes_num (Tensor): The number of RoIs in each image. Default: None |
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这里需要说明下 boxes_num是整形, 以及支持的dtype
python/paddle/vision/ops.py
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| boxes[:, 2] += boxes[:, 0] + 3 | ||
| boxes[:, 3] += boxes[:, 1] + 4 | ||
| boxes_num = paddle.to_tensor([3]).astype('int32') | ||
| roi_pool_c = RoIPool(output_size=(4, 3)) |
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名字简短一些，roi_pool就行，去掉后面_c
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| 2. Finding the largest value in each section; | ||
| 3. Copying these max values to the output buffer. | ||
| For more information, please refer to https://stackoverflow.com/questions/43430056/what-is-roi-layer-in-fast-rcnn | ||
| Args: |
python/paddle/vision/ops.py
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| 2D-Tensor or 2D-LoDTensor with the shape of [num_boxes,4], the lod level is 1. | ||
| Given as [[x1, y1, x2, y2], ...], (x1, y1) is the top left coordinates, | ||
| and (x2, y2) is the bottom right coordinates. | ||
| boxes_num (Tensor): The number of RoIs in each image. Default: None |
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| Examples: | ||
| .. code-block:: python | ||
| import paddle |
| 2. Finding the largest value in each section; | ||
| 3. Copying these max values to the output buffer. | ||
| For more information, please refer to https://stackoverflow.com/questions/43430056/what-is-roi-layer-in-fast-rcnn | ||
| Args: |
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| Examples: | ||
| .. code-block:: python | ||
| import paddle |
| Args: | ||
| output_size (int or tuple[int, int]): The pooled output size(h, w), data type is int32. If int, h and w are both equal to output_size. | ||
| spatial_scale (float, optional): Multiplicative spatial scale factor to translate ROI coords from their input scale to the scale used when pooling. Default: 1.0 | ||
| Returns: |
done |
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lyuwenyu
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* add roi pool * rename input as x
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AnnaTrainingG
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* add roi pool * rename input as x
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roi pool
RoIPool
cn docs add roi pool cn docs docs#3887
roi pool cn doc
RoIPool cn doc
roi pool en doc
RoIPool en doc
