5,(0,255,0),-1)# 在图像上显示动作类别action=predictions[0]# 假设这是第一个样本的预测cv2.putText(img,f"Action: {action}",(50,50),cv2.FONT_HERSHEY_SIMPLEX,1,(255,0,0),2)# 显示图像cv2.imshow("Action Recognition",img)cv2.waitKey(0)cv2.destroyAllWindows()...
随便说说:最近开始搞动作识别(action recognition),发现很多框架都选择会兼容AVA格式都数据集,然后就开始研究这个数据集,发现还是有点复杂的,动作的分类、自动打框、追踪之类的。恰好YOLOv8最近可以自动进行track了,似乎可以一次实现完整的数据集构建。所以就开始研究这个内容,再把东西发一下,希望可以对大家有帮助。这篇...
action_model = MMAction2Inferencer( rec='configs/recognition/tsm/tsm_imagenet-pretrained-r50_8xb16-1x1x8-50e_kinetics400-rgb.py', rec_weights='work_dirs/tsm_r50_8xb16_u48_240e/best_acc_top1_epoch_27.pth', device='cuda:0', label_file='tools/data/kinetics/label_1.txt' ) # 打开视...
Human action recognition in video analytics has been widely studied in recent years. Yet, most of these methods assign a single action label to video after either analyzing a complete video or using classifier for each frame. But when compared to human vision strategy, it can be deduced that ...
config demo/yolov3_d53_320_273e_coco.py --det-checkpoint Checkpionts/mmdetection/yolov3_d53_320_273e_coco-421362b6.pth --video /user-data/mmactionVideo/video/v2.mp4 --out-filename demo/demoOut2.mp4 --det-score-thr 0.9 --action-score-thr 0.5 --output-stepsize 4 --output-fps 6...
Facial Landmarks Estimation Gesture Recognition Body Pose Estimation Multitask Image Classification Character Recognition ActionRecognitionNet Conversational AI Applications Point Cloud Applications Pose Classification Deploying to Inference SDKs Bring Your Own Model (BYOM) ...
Tiny-YOLO oneclass -.pth,.cfg 备用:.pth,下载后文件名删除.txt SPPE FastPose (AlphaPose) -resnet101,resnet50 备用:resnet101,resnet50,下载后文件名删除.txt ST-GCN action recognition -tsstg 备用:tsstg,下载后文件名删除.txt Basic Use ...
RetinaNet EfficientDet Instance Segmentation Semantic Segmentation Gaze Estimation Emotion Classification HeartRate Estimation Facial Landmarks Estimation Gesture Recognition Body Pose Estimation Multitask Image Classification Character Recognition ActionRecognitionNet Conversational AI Applications ...
因此,题主不妨根据自己的任务情况,看是否对时间上下文的依赖比较大,若是很小,大部分动作可以用单帧来判断,那就当做简单的目标检测任务来做;若是需要识别的动作不好用单帧来识别,那就可以试试Spatio-Temporal Action Detection的技术路线。 笔者涉足该领域并不久,所以相关知识储备尚浅薄,不足以给出太多可靠的建议,...
目前行为分类(Action Recognition)的算法非常多,但是具体到目标层级的行为检测相对较少(行为分类和行为检测的关系可参考图片分类和目标检测),目前数据集主要是ava,算法还是slowfast(ava榜单top1)为主。 FAIR的pytorchvideo框架结合目标检测和行为分类(Faster R-CNN+SlowFast)实现了行为检测,不过pytorchvideo框架下的目标检测...