CONFIG_PATH 是nanodet-plus的yml配置文件 MODEL_PATH 是刚才下载的权重路径 IMAGE_PATH 是测试图片路径 权重下载连接地址,可以将weight和checkpoint都下载下来,推理的时候只使用weight,训练的时候会用到checkpoint,我这里只下了416尺寸的: 以下是我的测试例子,下载的权重放在新建的weights文件夹中,使用nanodet-plus-m的...
Otherwise, if your dataset annotations are YOLO format (Darknet TXT), refer toconfig/nanodet-plus-m_416-yolo.yml Or convert your dataset annotations to MS COCO format(COCO annotation format details). Prepare config file Copy and modify an example yml config file in config/ folder. ...
NanoDet-Plus-m-1.5x416*41634.111.50ms25.49ms2.97G2.44M4.7MB(FP16)|2.3MB(INT8) YOLOv3-Tiny416*41616.6-37.6ms5.62G8.86M33.7MB YOLOv4-Tiny416*41621.7-32.81ms6.96G6.06M23.0MB YOLOX-Nano416*41625.8-23.08ms1.08G0.91M1.8MB(FP16) YOLOv5-n640*64028.4-44.39ms4.5G1.9M3.8MB(FP16) ...
NanoDet-RepVGGRepVGG-A0416*41627.811.3G6.75MDownload How to Train Prepare dataset If your dataset annotations are pascal voc xml format, refer toconfig/nanodet_custom_xml_dataset.yml Otherwise, if your dataset annotations are YOLO format (Darknet TXT), refer toconfig/nanodet-plus-m_416-yolo.yml...
NanoDet-Plus-m-1.5x416*41634.111.50ms25.49ms2.97G2.44M4.7MB(FP16)|2.3MB(INT8) YOLOv3-Tiny416*41616.6-37.6ms5.62G8.86M33.7MB YOLOv4-Tiny416*41621.7-32.81ms6.96G6.06M23.0MB YOLOX-Nano416*41625.8-23.08ms1.08G0.91M1.8MB(FP16) YOLOv5-n640*64028.4-44.39ms4.5G1.9M3.8MB(FP16) ...
If your dataset annotations are pascal voc xml format, refer to config/nanodet_custom_xml_dataset.yml Otherwise, if your dataset annotations are YOLO format (Darknet TXT), refer to config/nanodet-plus-m_416-yolo.yml Or convert your dataset annotations to MS COCO format(COCO annotation format ...
nanodet-plus-m-1.5x_320.yml nanodet-plus-m-1.5x_416.yml nanodet-plus-m_320.yml nanodet-plus-m_416-yolo.yml nanodet-plus-m_416.yml nanodet_custom_xml_dataset.yml demo demo_android_ncnn demo_libtorch demo_mnn demo_ncnn demo_openvino docs nanodet tests tools .flake8 .gitignore .isort....
NanoDet-Plus-m 416*416 30.4 8.32ms 19.77ms 1.52G 1.17M 2.3MB(FP16) | 1.2MB(INT8) NanoDet-Plus-m-1.5x 320*320 29.9 7.21ms 15.90ms 1.75G 2.44M 4.7MB(FP16) | 2.3MB(INT8) NanoDet-Plus-m-1.5x 416*416 34.1 11.50ms 25.49ms 2.97G 2.44M 4.7MB(FP16) | 2.3MB(INT8) YOLOv3-Tiny...
If your dataset annotations are pascal voc xml format, refer to config/nanodet_custom_xml_dataset.yml Otherwise, if your dataset annotations are YOLO format (Darknet TXT), refer to config/nanodet-plus-m_416-yolo.yml Or convert your dataset annotations to MS COCO format(COCO annotation format ...
Otherwise, if your dataset annotations are YOLO format (Darknet TXT), refer to config/nanodet-plus-m_416-yolo.yml Or convert your dataset annotations to MS COCO format(COCO annotation format details). Prepare config file Copy and modify an example yml config file in config/ folder. Change sa...