#python #deep_learning #feature_matching #graph_neural_networks #pose_estimation
https://github.com/magicleap/SuperGluePretrainedNetwork
https://github.com/magicleap/SuperGluePretrainedNetwork
GitHub
GitHub - magicleap/SuperGluePretrainedNetwork: SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral) - magicleap/SuperGluePretrainedNetwork
#python #action_recognition #anomaly_detection #audio_processing #background_removal #crowd_counting #deep_learning #face_detection #face_recognition #fashion_ai #gan #hand_detection #image_classification #image_segmentation #machine_learning #neural_network #object_detection #object_recognition #object_tracking #pose_estimation
https://github.com/axinc-ai/ailia-models
https://github.com/axinc-ai/ailia-models
GitHub
GitHub - axinc-ai/ailia-models: The collection of pre-trained, state-of-the-art AI models for ailia SDK
The collection of pre-trained, state-of-the-art AI models for ailia SDK - axinc-ai/ailia-models
#typescript #face_detection #hand_detection #mediapipe_facemesh #mediapipe_hands #mediapipe_pose #pose_estimation #tensorflowjs #vtuber
https://github.com/yeemachine/kalidokit
https://github.com/yeemachine/kalidokit
GitHub
GitHub - yeemachine/kalidokit: Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking…
Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models. - yeemachine/kalidokit
#python #animal_pose_estimation #benchmark #cpm #crowdpose #deeppose #face_keypoint #freihand #hand_pose_estimation #higher_hrnet #hourglass #hrnet #human_pose #mmpose #mpii #mspn #ochuman #pose_estimation #pytorch #rsn #udp
https://github.com/open-mmlab/mmpose
https://github.com/open-mmlab/mmpose
GitHub
GitHub - open-mmlab/mmpose: OpenMMLab Pose Estimation Toolbox and Benchmark.
OpenMMLab Pose Estimation Toolbox and Benchmark. Contribute to open-mmlab/mmpose development by creating an account on GitHub.
#python #animal_pose_estimation #behavior_analysis #deep_learning #deeplabcut #feature_detectors #keypoint_detection #keypoint_tracking #labeling_tool #pose_estimation #toolbox
https://github.com/DeepLabCut/DeepLabCut
https://github.com/DeepLabCut/DeepLabCut
GitHub
GitHub - DeepLabCut/DeepLabCut: Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with…
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans - DeepLabCut/DeepLabCut
#python #deep_learning #hub #image_classification #instance_segmentation #machine_learning #obb #object_detection #pose #pytorch #tracking #ultralytics #yolo #yolo_world #yolo_world_v2 #yolo11 #yolov10 #yolov8 #yolov9
Ultralytics YOLO11 is a state-of-the-art model for object detection, segmentation, classification, and pose estimation. It is fast, accurate, and easy to use, making it suitable for various tasks. You can install it using pip (`pip install ultralytics`) and use it via the command line or Python scripts. The model comes with extensive documentation and community support through Discord, Reddit, and forums. Additionally, Ultralytics offers integrations with other AI platforms like Roboflow and ClearML to enhance your workflow. This tool benefits users by providing high-performance AI capabilities with minimal setup and robust community resources for assistance.
https://github.com/ultralytics/ultralytics
Ultralytics YOLO11 is a state-of-the-art model for object detection, segmentation, classification, and pose estimation. It is fast, accurate, and easy to use, making it suitable for various tasks. You can install it using pip (`pip install ultralytics`) and use it via the command line or Python scripts. The model comes with extensive documentation and community support through Discord, Reddit, and forums. Additionally, Ultralytics offers integrations with other AI platforms like Roboflow and ClearML to enhance your workflow. This tool benefits users by providing high-performance AI capabilities with minimal setup and robust community resources for assistance.
https://github.com/ultralytics/ultralytics
GitHub
GitHub - ultralytics/ultralytics: Ultralytics YOLO 🚀
Ultralytics YOLO 🚀. Contribute to ultralytics/ultralytics development by creating an account on GitHub.