Implement detection mAP evaluator wrapper and unify label format between SSD loss and mAP evaluator #8736
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pkuyym
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Mar 5, 2018
| for epoch in PASS_NUM: | ||
| map_evaluator.reset(exe) | ||
| for data in batches: | ||
| loss, cur_map_v, accum_map_v = exe.run(fetch_list=[cost, cur_map, accum_map]) |
pkuyym
reviewed
Mar 5, 2018
| "the number of offset is N + 1, if LoD[i + 1] - LoD[i] == 0, " | ||
| "means there is no ground-truth data."); | ||
| AddInput("HasState", | ||
| "(Tensor<int>) A tensor with shape [1], 0 mean ignoring input " |
| The general steps are as follows: | ||
| 1. calculate the true positive and false positive according to the input | ||
| of detection and labels. | ||
| 2. calculate mAP value, support two methods: '11 point' and 'integral'. |
| https://arxiv.org/abs/1512.02325 | ||
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| Args: | ||
| input (Variable): the detection results, which is a LoDTensor with shape |
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the --> The ? same as follows.
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Done. From http://www.paddlepaddle.org/docs/develop/api/en/fluid/layers.html , upper case is betther.
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Fix #8735