二、产品开箱展示 三、Intel Open Model Zoo英特尔训练模型库验证 本次首选Intel Open Model Zoo英特尔训练模型库(部署流程可参考:https://github.com/openvinotoolkit/open_model_zoo),挑选部分实验进行验证,测试开发板在人工智能入门学习场景下的应用; 3.1 speech_recognition_quartznet_demo(语音识别实验) 该实验读取...
Open Model Zoo also supports models already in the ONNX format. Pull Request Requirements To contribute to OMZ, create a pull request (PR) in this repository using themasterbranch. Pull requests are strictly formalized and are reviewed by the OMZ maintainers for consistence and legal compliance....
open_model_zoo Public forked from openvinotoolkit/open_model_zoo Notifications Fork 0 Star 0 Code Pull requests Actions Projects Security Insights ashishd/open_model_zoomaster 1 BranchTags Code This branch is up to date with openvinotoolkit/open_model_zoo:master.Folders...
We welcome community contributions to the Open Model Zoo repository. If you have an idea how to improve the product, please share it with us doing the following steps: Make sure you can build the product and run all the demos with your patch. ...
forked from Ascend/modelzoo-his 关闭 代码 Issues 0 Pull Requests 0 Wiki 统计 流水线 服务 加入Gitee 与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :) 免费加入 已有帐号? 立即登录 master 克隆/下载 modelzoo / Third_Party_Open_Source_Software_Notice Third_Party_Open_...
测试前请下载好需要的模型文件:https://github.com/open-mmlab/mmdetection/blob/master/MODEL_ZOO.md https://github.com/open-mmlab/mmdetection/blob/master/GETTING_STARTED.md import mmcv from mmdet.apis import init_detector, inference_detector, show_result ...
To visualize the form of the mass distribution, we have drawn 1000 posterior samples from the master sample discussed in [36], and taken their mean to compare with the maximum a posteriori distribution obtained. The result confirms the presence of two maxima as explained. A Bayesian analysis wa...
The pre-trained model can therefore efficiently employed on desired task after fine-tuning. With only one pre-trained model, IPT outperforms the current state-of-the-art methods on various low-level benchmarks. Code is available at https://gitee.com/mindspore/mindspore/tree/master/model_zoo/...
$ wget https://ghproxy.com/https://github.com/intel-iot-devkit/sample-videos/raw/master/one-by-one-person-detection.mp4 向右滑动查看完整代码 运行演示 $ python open_model_zoo/demos/object_detection_demo/python/object_detection_demo.py -m=models/intel/person-detection-retail-0013/FP32/person-...
https://github.com/PRBonn/semantic-kitti-api/blob/master/auxiliary/laserscan.py 《四足机器人VMC算法仿真实现 》 本课程是基于《四足机器人控制与仿真入门》的基础上的拓展课程。课程采用Coppeliasim作为四足机器人仿真平台,Matlab作为编程语言,实现二维空间中VMC算法的仿真应用。