python tools/export_model.py -c configs/ppyoloe/ppyoloe_plus_crn_m_80e_coco.yml -o weights=output/ppyoloe_plus_crn_m_80e_coco/best_model.pdparams --exclude_nms=True --trt=True# 速度测试,使用run_benchmark=True, run_mode=trt_fp32/trt_fp16!CUDA_VISIBLE_DEVICES=0 python deploy/pyth...
cp../newconfig/exdark_detection.ymlconfigs/ppyoloe/application/_base_/exdark_detection.yml# 开始单卡训练,学习率需要再降低4倍# 恢复训练 -r output/ppyoloe_plus_crn_m_80e_coco_pretrained_exdark/best_model.pdparams!pythontools/train.py\-cconfigs/ppyoloe/application/ppyoloe_plus_crn_m_80e_...
py --config configs/ppyoloe/voc/ppyoloe_plus_crn_s_30e_voc.yml 2. ReID模型训练 注意:ReID模型训练在paddle2.1测试报错,动态图和静态图模式的问题,目前只支持在paddle2.0上使用动态图模式训练。 # 打开文件目录 %cd /home/aistudio/work/FishTracking/deepsort/deep/paddlemodel /home/aistudio/work/Fish...
_BASE_: [ '../ppyoloe/ppyoloe_plus_crn_l_80e_coco.yml', '../datasets/voc.yml', ] # 日志打印间隔 log_iter: 50 # 模型保存间隔时间 snapshot_epoch: 50 weights: output/ppyoloe_plus_crn_s_30e_voc/model_final pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained...
python tools/train.py -c configs/ppyoloe/ppyoloe_plus_crn_s_80e_coco.yml --use_vdl=true --amp --eval --vdl_log_dir=vdl_dir/scalar 五、评估 VisualDL数据 先检查一下VisualDL上给出的metrics。 bbox-mAP是平均准确率均值,综合了准确率(Precision)和召回率(Recall)的评估指标,能够全面地反映...
model_name=ppyoloe#可修改,如 yolov7job_name=ppyoloe_plus_crn_s_80e_coco#可修改,如 yolov7_tiny_300e_cococonfig=configs/${model_name}/${job_name}.yml log_dir=log_dir/${job_name}#weights=https://bj.bcebos.com/v1/paddledet/models/${job_name}.pdparamsweights=output/${job_name}...
默认是output_inference# -o 或者 --opt设置配置选项,这里设置了weights使用前面手动下载的权重等等python tools/export_model.py -c configs/ppyoloe/ppyoloe_plus_crn_s_80e_coco.yml\-oweights=ppyoloe_plus_crn_s_80e_coco.pdparams\exclude_nms=Trueexclude_post_process=True\--output_dir inference_...
│ ├── ppyoloe_crn_m_80e_pcb.yml │ ├── ppyoloe_crn_m_80e_wgisd.yml │ ├── ppyoloe_plus_crn_m_80e_coco_pretrained_exdark.yml │ ├── ppyoloe_plus_crn_m_80e_coco_pretrained_pcb.yml │ ├── ppyoloe_plus_crn_m_80e_coco_pretrained_wgisd.yml ...
File.Exists("./model/ppyoloe_plus_crn_l_80e_coco.tar")) { _ = Download.download_file_async("https://github.com/guojin-yan/OpenVINO-CSharp-API-Samples/releases/download/Model/ppyoloe_plus_crn_l_80e_coco.tar", "./model/ppyoloe_plus_crn_l_80e_coco.tar").Result; } Download....
[property] gpu-id=0 net-scale-factor=0.0173520735727919486 offsets=123.675;116.28;103.53 model-color-format=0 custom-network-config=ppyoloe_crn_s_400e_coco.cfg model-file=ppyoloe_crn_s_400e_coco.wts model-engine-file=model_b1_gpu0_fp32.engine #int8-calib-file=calib.table labelfile-path...