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计算模型的mAP about mobilenet-yolo HOT 7 CLOSED

eric612 avatar eric612 commented on May 14, 2024
计算模型的mAP

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Comments (7)

eric612 avatar eric612 commented on May 14, 2024

根據我的solver設定，mAP在caffe訓練過程中，每一千筆會測試一次mAP，你只要下指令訓練即可

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YiDing2333 avatar YiDing2333 commented on May 14, 2024

我的训练没有问题，但是在训练中每次测试时detection_eval都等于0，不知道是哪里有问题，麻烦您帮我看一下
这是训练过程中的log记录，输出测试的结果
default
这是我solver中的内容
default
这是test中配置数据的部分
default

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eric612 avatar eric612 commented on May 14, 2024

方便將prototxt 與 training log 上傳嗎，這樣看會比較快

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YiDing2333 avatar YiDing2333 commented on May 14, 2024

非常感谢
mobilenetv1_yolov3_coco.zip
train-2018-12-15-19-16-47.zip

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eric612 avatar eric612 commented on May 14, 2024

您好，

  • 我發現你將depthwise convolution加上 shortcut ，類似的結構我有試過mobilenetv2 ，但精準度不是很好，同樣的問題 caffe的mobilenetv2-ssdlite也會遇到，建議不要使用此類結構

  • 另外將backbone網路修改後，如果沒有相對應的pretrained weights，也會造成精準度下降

  • 且depthwise後面一定要先接1x1 的conv. layer (pointwise convolution)，否則效果並非與google 提出的mobilenet 等價

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YiDing2333 avatar YiDing2333 commented on May 14, 2024

谢谢，我再认真修改一下我的网络结构
不知道我的prototxt在您那运行时，测试的detection_eval是否为0，是配置的有问题还是有别的什么问题

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YiDing2333 avatar YiDing2333 commented on May 14, 2024

才发现测试集是没有标注的 验证集里才有标注 换成coco的验证集就好了

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