Resources [1]How to quantify ssd_mobilenet_v1_coco model and toco to .tflite ?#18829 [2]SSD_mobilenet_v1/0.75_quantized_coco trained model is not detecting anything after porting on Android [Detect app]#21839 [3]COCO-trained models 方法论 一、开始训练 TF是个坑,但使用对的命令就可以了。
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Test2017: This subset consists of 20K images used for testing and benchmarking the trained models. Ground truth annotations for this subset are not publicly available, and the results are submitted to theCOCO evaluation serverfor performance evaluation. ...
The pre-trained models accelerate the AI training process and reduce costs associated with large scale data collection, labeling, and training models from scratch. Transfer learning with pre-trained models can be used for AI applications in smart cities, retail, healthcare, industrial inspection and...
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and ...
Trained models with COCO Wholebody. pose-estimation coco-wholebody yolov7 Updated Jun 13, 2023 Python otmb / TopDownPoseEstimation Star 5 Code Issues Pull requests TopDown Pose Estimation on iOS and PureSwift. swift ios pose-estimation coreml coco-wholebody vitpose yolo7 Updated Oct ...
Moreover, our models trained using COCO-ReM converge faster and score higher than their larger variants trained using COCO-2017, highlighting the importance of data quality in improving object detectors. With these findings, we advocate using COCO-ReM for future object detection research. Our ...
docker run -it --gpus all\-e DISPLAY\-eQT_X11_NO_MITSHM=1\-v /tmp/.X11-unix:/tmp/.X11-unix\-v$HOME/.Xauthority:/root/.Xauthority\--name darknet\--mounttype=bind,source=$HOME/Codes/devel/datasets/coco2017,target=/home/coco2017\--mounttype=bind,source=$HOME/Codes/devel/models/yolo...
--mount type=bind,source=$HOME/Codes/devel/models/yolov4,target=/home/yolov4 joinaero/ubuntu18.04-cuda10.2:opencv4.4.0-darknet 进行推断: ./darknet detector test cfg/coco.data cfg/yolov4.cfg /home/yolov4/yolov4.weights -thresh 0.25 -ext_output -show -out /home/coco2017/result.json ...
Anobject detector, trained with low IoU threshold, e.g. 0.5, usually produces noisy detections ...