From 2d579371905aeb33c03cfaf438cd72e0e87ac248 Mon Sep 17 00:00:00 2001 From: MillHaruto Date: Wed, 10 Apr 2024 22:17:48 +0800 Subject: [PATCH] new post --- _posts/journal/2024-04-09-day49.md | 90 ++++++++++++++++++++++++++++++ 1 file changed, 90 insertions(+) create mode 100644 _posts/journal/2024-04-09-day49.md diff --git a/_posts/journal/2024-04-09-day49.md b/_posts/journal/2024-04-09-day49.md new file mode 100644 index 00000000000..39dec3e2e55 --- /dev/null +++ b/_posts/journal/2024-04-09-day49.md @@ -0,0 +1,90 @@ +--- +layout: post +title: Day49 - Backbone中C3/C2f后添加一层CA在FLIR上的表现 +date: 2024-04-09 15:03 +0800 +category: [读研日记] +tags: [] +img_path: "/assets/img/posts/" +--- + +yolov5n/s/m和yolov8n/s仅在backbone的C3/C2f模块后添加一层CA,在FLIR上训练200epochs + +- Yolov5n-ca + + Parameters: 2.667M + + | Class| Precision| Recall| mAP50| mAP50-95| + | ---:| ---:| ---:| ---:| ---:| + | all| 0.628| 0.443| 0.494| 0.292| + | person| 0.836| 0.607| 0.742| 0.411| + | bike| 0.537| 0.418| 0.41| 0.245| + | car| 0.853| 0.732| 0.833| 0.587| + | motor| 0.804| 0.521| 0.623| 0.302| + | bus| 0.801| 0.475| 0.619| 0.417| + | truck| 0.33| 0.391| 0.218| 0.141| + | light| 0.748| 0.37| 0.479| 0.224| + | other vehicle| 0.116| 0.0317| 0.0291| 0.0122| + +- Yolov5s-ca + + Parameters: 9.191M + + | Class| Precision| Recall| mAP50| mAP50-95| + | ---:| ---:| ---:| ---:| ---:| + | all| 0.628| 0.513| 0.557| 0.338| + | person| 0.836| 0.678| 0.785| 0.465| + | bike| 0.587| 0.512| 0.521| 0.321| + | car| 0.859| 0.788| 0.865| 0.627| + | motor| 0.748| 0.6| 0.724| 0.38| + | bus| 0.746| 0.508| 0.655| 0.439| + | truck| 0.39| 0.478| 0.286| 0.184| + | light| 0.777| 0.509| 0.583| 0.277| + | other vehicle| 0.0765| 0.0317| 0.0361| 0.0122| + +- Yolov5m-ca + + Parameters: 25.191M + + | Class| Precision| Recall| mAP50| mAP50-95| + | ---:| ---:| ---:| ---:| ---:| + | all| 0.694| 0.527| 0.575| 0.363| + | person| 0.884| 0.659| 0.808| 0.49| + | bike| 0.621| 0.559| 0.561| 0.35| + | car| 0.901| 0.788| 0.881| 0.648| + | motor| 0.811| 0.582| 0.674| 0.388| + | bus| 0.807| 0.531| 0.672| 0.481| + | truck| 0.398| 0.457| 0.288| 0.198| + | light| 0.842| 0.502| 0.616| 0.298| + | other vehicle| 0.292| 0.143| 0.0975| 0.0472| + +- Yolov8n-ca + + Parameters: 3.170M + + | Class| Precision| Recall| mAP50| mAP50-95| + | ---:| ---:| ---:| ---:| ---:| + | all| 0.583| 0.481| 0.505| 0.3| + | person| 0.786| 0.665| 0.749| 0.422| + | bike| 0.471| 0.441| 0.435| 0.263| + | car| 0.811| 0.772| 0.841| 0.595| + | motor| 0.767| 0.636| 0.671| 0.332| + | bus| 0.777| 0.488| 0.615| 0.427| + | truck| 0.232| 0.37| 0.213| 0.131| + | light| 0.67| 0.43| 0.48| 0.22| + | other vehicle| 0.152| 0.0483| 0.0382| 0.0116| + +- Yolov8s-ca + + Parameters: 11.204M + + | Class| Precision| Recall| mAP50| mAP50-95| + | ---:| ---:| ---:| ---:| ---:| + | all| 0.654| 0.515| 0.557| 0.345| + | person| 0.852| 0.665| 0.788| 0.472| + | bike| 0.642| 0.518| 0.528| 0.32| + | car| 0.869| 0.791| 0.87| 0.631| + | motor| 0.86| 0.636| 0.723| 0.394| + | bus| 0.731| 0.531| 0.671| 0.472| + | truck| 0.382| 0.444| 0.255| 0.173| + | light| 0.767| 0.478| 0.568| 0.271| + | other vehicle| 0.131| 0.0601| 0.0512| 0.0233|