From afec4186feb7c7e26e70645d35469ed6330e605d Mon Sep 17 00:00:00 2001 From: Bobholamovic Date: Fri, 16 Sep 2022 15:16:26 +0800 Subject: [PATCH] Update CE statistics --- .../configs/cd/fc_ef/train_infer_python.txt | 2 +- .../cd/fc_siam_conc/train_infer_python.txt | 2 +- .../cd/fc_siam_diff/train_infer_python.txt | 2 +- test_tipc/configs/cd/fccdn/fccdn_levircd.yaml | 4 +- .../configs/cd/fccdn/train_infer_python.txt | 2 +- .../det/faster_rcnn/train_infer_python.txt | 2 +- .../configs/det/yolov3/train_infer_python.txt | 2 +- test_tipc/docs/test_train_inference_python.md | 58 +++++++++---------- 8 files changed, 38 insertions(+), 36 deletions(-) diff --git a/test_tipc/configs/cd/fc_ef/train_infer_python.txt b/test_tipc/configs/cd/fc_ef/train_infer_python.txt index 73da148..fec5049 100644 --- a/test_tipc/configs/cd/fc_ef/train_infer_python.txt +++ b/test_tipc/configs/cd/fc_ef/train_infer_python.txt @@ -4,7 +4,7 @@ python:python gpu_list:0|0,1 use_gpu:null|null --precision:null ---num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=20 +--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 --save_dir:adaptive --train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 --model_path:null diff --git a/test_tipc/configs/cd/fc_siam_conc/train_infer_python.txt b/test_tipc/configs/cd/fc_siam_conc/train_infer_python.txt index db1ade5..47e9bdb 100644 --- a/test_tipc/configs/cd/fc_siam_conc/train_infer_python.txt +++ b/test_tipc/configs/cd/fc_siam_conc/train_infer_python.txt @@ -4,7 +4,7 @@ python:python gpu_list:0|0,1 use_gpu:null|null --precision:null ---num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=20 +--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 --save_dir:adaptive --train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 --model_path:null diff --git a/test_tipc/configs/cd/fc_siam_diff/train_infer_python.txt b/test_tipc/configs/cd/fc_siam_diff/train_infer_python.txt index 245e4ed..cba8b57 100644 --- a/test_tipc/configs/cd/fc_siam_diff/train_infer_python.txt +++ b/test_tipc/configs/cd/fc_siam_diff/train_infer_python.txt @@ -4,7 +4,7 @@ python:python gpu_list:0|0,1 use_gpu:null|null --precision:null ---num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=20 +--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 --save_dir:adaptive --train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 --model_path:null diff --git a/test_tipc/configs/cd/fccdn/fccdn_levircd.yaml b/test_tipc/configs/cd/fccdn/fccdn_levircd.yaml index 02586cb..2beddde 100644 --- a/test_tipc/configs/cd/fccdn/fccdn_levircd.yaml +++ b/test_tipc/configs/cd/fccdn/fccdn_levircd.yaml @@ -5,4 +5,6 @@ _base_: ../_base_/levircd.yaml save_dir: ./test_tipc/output/cd/fccdn/ model: !Node - type: FCCDN \ No newline at end of file + type: FCCDN + +learning_rate: 0.001 \ No newline at end of file diff --git a/test_tipc/configs/cd/fccdn/train_infer_python.txt b/test_tipc/configs/cd/fccdn/train_infer_python.txt index b18ae87..aea6c3c 100644 --- a/test_tipc/configs/cd/fccdn/train_infer_python.txt +++ b/test_tipc/configs/cd/fccdn/train_infer_python.txt @@ -4,7 +4,7 @@ python:python gpu_list:0|0,1 use_gpu:null|null --precision:null ---num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=10 +--num_epochs:lite_train_lite_infer=5|lite_train_whole_infer=5|whole_train_whole_infer=20 --save_dir:adaptive --train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=8 --model_path:null diff --git a/test_tipc/configs/det/faster_rcnn/train_infer_python.txt b/test_tipc/configs/det/faster_rcnn/train_infer_python.txt index 679d81e..4aed668 100644 --- a/test_tipc/configs/det/faster_rcnn/train_infer_python.txt +++ b/test_tipc/configs/det/faster_rcnn/train_infer_python.txt @@ -4,7 +4,7 @@ python:python gpu_list:0|0,1 use_gpu:null|null --precision:null ---num_epochs:lite_train_lite_infer=3|lite_train_whole_infer=3|whole_train_whole_infer=10 +--num_epochs:lite_train_lite_infer=3|lite_train_whole_infer=3|whole_train_whole_infer=20 --save_dir:adaptive --train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=4 --model_path:null diff --git a/test_tipc/configs/det/yolov3/train_infer_python.txt b/test_tipc/configs/det/yolov3/train_infer_python.txt index b60be01..f46627c 100644 --- a/test_tipc/configs/det/yolov3/train_infer_python.txt +++ b/test_tipc/configs/det/yolov3/train_infer_python.txt @@ -4,7 +4,7 @@ python:python gpu_list:0|0,1 use_gpu:null|null --precision:null ---num_epochs:lite_train_lite_infer=3|lite_train_whole_infer=3|whole_train_whole_infer=10 +--num_epochs:lite_train_lite_infer=3|lite_train_whole_infer=3|whole_train_whole_infer=20 --save_dir:adaptive --train_batch_size:lite_train_lite_infer=4|lite_train_whole_infer=4|whole_train_whole_infer=4 --model_path:null diff --git a/test_tipc/docs/test_train_inference_python.md b/test_tipc/docs/test_train_inference_python.md index 95ecd82..e5ba50c 100644 --- a/test_tipc/docs/test_train_inference_python.md +++ b/test_tipc/docs/test_train_inference_python.md @@ -8,35 +8,35 @@ Linux GPU/CPU 基础训练推理测试的主程序为`test_train_inference_pytho | 任务类别 | 模型名称 | 单机单卡 | 单机多卡 | 参考预测精度 | | :----: | :----: | :----: | :----: | :----: | -| 变化检测 | BIT | 正常训练 | 正常训练 | IoU=71.02% | -| 变化检测 | CDNet | 正常训练 | 正常训练 | IoU=56.02% | -| 变化检测 | ChangeFormer | 正常训练 | 正常训练 | IoU=61.65% | -| 变化检测 | DSAMNet | 正常训练 | 正常训练 | IoU=69.76% | -| 变化检测 | DSIFN | 正常训练 | 正常训练 | IoU=72.88% | -| 变化检测 | SNUNet | 正常训练 | 正常训练 | IoU=68.46% | -| 变化检测 | STANet | 正常训练 | 正常训练 | IoU=65.11% | -| 变化检测 | FC-EF | 正常训练 | 正常训练 | IoU=64.22% | -| 变化检测 | FC-Siam-conc | 正常训练 | 正常训练 | IoU=65.79% | -| 变化检测 | FC-Siam-diff | 正常训练 | 正常训练 | IoU=61.23% | -| 变化检测 | FCCDN | 正常训练 | 正常训练 | IoU=24.42% | -| 场景分类 | CondenseNet V2 | 正常训练 | 正常训练 | Acc(top1)=60.42% | -| 场景分类 | HRNet | 正常训练 | 正常训练 | Acc(top1)=99.37% | -| 场景分类 | MobileNetV3 | 正常训练 | 正常训练 | Acc(top1)=99.58% | -| 场景分类 | ResNet50-vd | 正常训练 | 正常训练 | Acc(top1)=99.26% | -| 图像复原 | DRN | 正常训练 | 正常训练 | PSNR=24.23 | -| 图像复原 | ESRGAN | 正常训练 | 正常训练 | PSNR=21.30 | -| 图像复原 | LESRCNN | 正常训练 | 正常训练 | PSNR=23.18 | -| 目标检测 | Faster R-CNN | 正常训练 | 正常训练 | mAP=46.99% | -| 目标检测 | PP-YOLO | 正常训练 | 正常训练 | mAP=56.02% | -| 目标检测 | PP-YOLO Tiny | 正常训练 | 正常训练 | mAP=44.27% | -| 目标检测 | PP-YOLOv2 | 正常训练 | 正常训练 | mAP=59.37% | -| 目标检测 | YOLOv3 | 正常训练 | 正常训练 | mAP=47.33% | -| 图像分割 | BiSeNet V2 | 正常训练 | 正常训练 | mIoU=70.20 | -| 图像分割 | DeepLab V3+ | 正常训练 | 正常训练 | mIoU=64.59% | -| 图像分割 | FarSeg | 正常训练 | 正常训练 | mIoU=50.45% | -| 图像分割 | Fast-SCNN | 正常训练 | 正常训练 | mIoU=48.97% | -| 图像分割 | HRNet | 正常训练 | 正常训练 | mIoU=33.49% | -| 图像分割 | UNet | 正常训练 | 正常训练 | mIoU=72.64% | +| 变化检测 | BIT | 正常训练 | 正常训练 | IoU=71.01% | +| 变化检测 | CDNet | 正常训练 | 正常训练 | IoU=55.10% | +| 变化检测 | ChangeFormer | 正常训练 | 正常训练 | IoU=61.09% | +| 变化检测 | DSAMNet | 正常训练 | 正常训练 | IoU=69.02% | +| 变化检测 | DSIFN | 正常训练 | 正常训练 | IoU=72.36% | +| 变化检测 | FC-EF | 正常训练 | 正常训练 | IoU=57.18% | +| 变化检测 | FC-Siam-conc | 正常训练 | 正常训练 | IoU=52.82% | +| 变化检测 | FC-Siam-diff | 正常训练 | 正常训练 | IoU=58.30% | +| 变化检测 | FCCDN | 正常训练 | 正常训练 | IoU=23.94% | +| 变化检测 | SNUNet | 正常训练 | 正常训练 | IoU=67.66% | +| 变化检测 | STANet | 正常训练 | 正常训练 | IoU=67.23% | +| 场景分类 | CondenseNet V2 | 正常训练 | 正常训练 | Acc(top1)=60.53% | +| 场景分类 | HRNet | 正常训练 | 正常训练 | Acc(top1)=99.47% | +| 场景分类 | MobileNetV3 | 正常训练 | 正常训练 | Acc(top1)=99.57% | +| 场景分类 | ResNet50-vd | 正常训练 | 正常训练 | Acc(top1)=99.37% | +| 目标检测 | Faster R-CNN | 正常训练 | 正常训练 | 暂无稳定精度 | +| 目标检测 | PP-YOLO | 正常训练 | 正常训练 | 暂无稳定精度 | +| 目标检测 | PP-YOLO Tiny | 正常训练 | 正常训练 | 暂无稳定精度 | +| 目标检测 | PP-YOLOv2 | 正常训练 | 正常训练 | 暂无稳定精度 | +| 目标检测 | YOLOv3 | 正常训练 | 正常训练 | 暂无稳定精度 | +| 图像复原 | DRN | 正常训练 | 正常训练 | PSNR=24.14 | +| 图像复原 | ESRGAN | 正常训练 | 正常训练 | PSNR=21.25 | +| 图像复原 | LESRCNN | 正常训练 | 正常训练 | PSNR=22.96 | +| 图像分割 | BiSeNet V2 | 正常训练 | 正常训练 | mIoU=70.52% | +| 图像分割 | DeepLab V3+ | 正常训练 | 正常训练 | mIoU=64.41% | +| 图像分割 | FarSeg | 正常训练 | 正常训练 | mIoU=50.74% | +| 图像分割 | Fast-SCNN | 正常训练 | 正常训练 | mIoU=49.27% | +| 图像分割 | HRNet | 正常训练 | 正常训练 | mIoU=33.03% | +| 图像分割 | UNet | 正常训练 | 正常训练 | mIoU=72.58% | *注：参考预测精度为whole_train_whole_infer模式下单卡训练汇报的精度数据。*