det_mv3_db.yml3.13 KB 一键复制编辑原始数据按行查看历史 LDOUBLEV提交于4年前.refine configs/det/det_mv3_db.yml Global: use_gpu:true epoch_num:1200 log_smooth_window:20 print_batch_step:10 save_model_dir:./output/db_mv3/ save_epoch_step:1200 ...
det_mv3_east.yml 2.54 KB 一键复制 编辑 原始数据 按行查看 历史 jzhang533 提交于 9个月前 . update common pre-commit configs and commit the results of running pre… 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667...
inference指令:python3 tools/export_model.py -c configs/det/det_mv3_db.yml -o Global.checkpoints=./output/det_db/iter_epoch_90 Global.save_inference_dir=./inference/det_db/ 训练时只修改了base_lr: 0.0001,train_batch_size_per_card:12,别的没有改变 Collaborator LDOUBLEV commented Jun 17, ...
选取的模型为 picodet_s_320 ,其配置文件在 configs/picodet/application/pedestrian_detection/picodet_s_320_lcnet_pedestrian.yml 我们需要修改对应类别以及相应的数据集读取地址:(此处是需要修改的配置,具体修改后配置见之后的yml文件) TrainDataset: !COCODataSet image_dir: "" anno_path: aic_coco_train_coco...
mVJbeu8CEyz0pPl5QYvXThdo6wtqMN.xml inflating: new_dataset/Annotations/3aovgyczP2pCJEN5VFhlqMw4ifIQ8LRk.xml inflating: new_dataset/Annotations/3c8QGWvOz6pknbFdtJHI4fgwTrhK1usj.xml inflating: new_dataset/Annotations/3dsMi2lPycfek7bjHN15DZYTKXVzGU9A.xml inflating: new_dataset/Annotations/3fb...
mv source target Move files or directories. open filename Load a file into a cell, convert to table if possible (avoid by appending '--raw') post url body (--user ) (--password ) Post content to a url and retrieve data as a table if possible ps View current processes sys View inf...
mv kubernetes.repo /etc/yum.repos.d 安装K8s 每台机器都要安装。 # 安装最新版本 yum install -y kubelet kubeadm kubectl # 指定版本安装 yum install -y kubelet-1.26.0 kubeadm-1.26.0 kubectl-1.26.0 # 启动kubelet sudo systemctl enable kubelet && sudo systemctl start kubelet && systemctl status...
DB MobileNetV3 configs/det/det_mv3_db.yml 77.29% 73.08% 75.12% 训练模型 DB++ ResNet50 configs/det/det_r50_db++_icdar15.yml 90.89% 82.66% 86.58% 合成数据预训练模型/训练模型 在TD_TR文本检测公开数据集上,算法复现效果如下: 模型骨干网络配置文件precisionrecallHmean下载链接 DB++ ResNet50 configs...
ch_PP-OCRv2_det_cml.yml4.82 KB 一键复制编辑原始数据按行查看历史 Zhang Ting提交于2年前.improve amp training (#10119) Global: use_gpu:true epoch_num:1200 log_smooth_window:20 print_batch_step:2 save_model_dir:./output/ch_db_mv3/ ...
(2)然后修改 PaddleDetection/configs/picodet/picodet_m_320_coco_lcnet.yml 修改以下参数(或者不变,使用默认参数) 预训练模型:pretrain_weights 训练超参数:epoch、batch_size、base_lr 详细配置文件改动和说明。 3.模型训练 PaddleDetection提供了单卡/多卡训练模型,满足用户多种训练需求,具体代码如下: In [ ]...