YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024] - Update YouTube URL https://youtu.be/LNwODJXcvt4 (#4808) · THU-MIG/yolov10@dbc53f6
Ma PeijueSupport yolo11-obb model infer and yolov8-...4c1283c2个月前 471 次提交 取消 提示:由于 Git 不支持空文件夾,创建文件夹后会生成空的 .keep 文件 .github Update pre-commit.yml 11个月前 alexnet fix ofstream binary issue for windows #585 ...
git clone https://github.com/WongKinYiu/yolor cd yolor # pip install required packages pip install -qr requirements.txt # install mish-cuda if you want to use mish activation # https://github.com/thomasbrandon/mish-cuda # https://github.com/JunnYu/mish-cuda git clone https://github.com...
关于LeNet-5,AlexNet,VGG16,VGG19这些网络结构我们在https://dataxujing.github.io/深度学习之CNN/中已经详细的解释,并且本教程中涉及的网路结构像ResNet,NIN,Inception,YOLO等也做了详细解释。本教程是对这些网络结构更详细的讨论。 目标检测资源 来源:Object Detectionhttps://handong1587.github.io/deep_learning...
2023年精选开源项目汇总,分类汇总. Contribute to OpenGithubs/Summary2023 development by creating an account on GitHub.
Refer to the notebook (https://github.com/experiencor/basic-yolo-keras/blob/master/Yolo%20Step-by-Step.ipynb) for a complete walk-through implementation of YOLOv2 from scratch (training, testing, and scoring).Evaluation of the current implementation:...
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code:https://pjreddie.com/darknet/yolov1/ github:https://github.com/pjreddie/darknet blog:https://pjreddie.com/darknet/yolov1/ slides:https://docs.google.com/presentation/d/1aeRvtKG21KHdD5lg6Hgyhx5rPq_ZOsGjG5rJ1HP7BbA/pub?start=false&loop=false&delayms=3000&slide=id.p ...
github(Caffe):https://github.com/xiaolonw/adversarial-frcnn Faster R-CNN Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks intro: NIPS 2015 arxiv:http://arxiv.org/abs/1506.01497 gitxiv:http://www.gitxiv.com/posts/8pfpcvefDYn2gSgXk/faster-r-cnn-towards-real-...
[Github] Visual med-alpaca: A parameter-efficient biomedical llm with visual capabilities.[Code] [arXiv] Ophglm: Training an ophthalmology large languageand-vision assistant based on instructions and dialogue.[Paper][Code] [arXiv] Chatcad: Interactive computer-aided diagnosis on medical image using...