object-detection

问题 My friends and I are partaking in a hackathon and are stuck on this one tutorial on training an object detection model: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html But after three people have tried to follow the above tutorial to the letter, we are all stuck on the creating TfRecord step: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#create-tensorflow-records We get the error message: ImportError: cannot

问题 My friends and I are partaking in a hackathon and are stuck on this one tutorial on training an object detection model: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html But after three people have tried to follow the above tutorial to the letter, we are all stuck on the creating TfRecord step: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#create-tensorflow-records We get the error message: ImportError: cannot

问题 I am using Tensorflow's object detection API, with my custom dataset. I am currently training "ssd_mobilenet_v1_coco" Everytime I try, training starts but training stops silently and randomly without error message. (Using COMMAND below, Command prompt shows the number of steps to some extent.) It is seems that GPU(CUDA) also stops. I've already tried changing batch_size("64" shows best score)and "ssd_mobilenet_v2_coco" Is this parameter(like "sample_1_of_n_eval_examples=1") or GPU problem? OS

问题 I am using Tensorflow's object detection API, with my custom dataset. I am currently training "ssd_mobilenet_v1_coco" Everytime I try, training starts but training stops silently and randomly without error message. (Using COMMAND below, Command prompt shows the number of steps to some extent.) It is seems that GPU(CUDA) also stops. I've already tried changing batch_size("64" shows best score)and "ssd_mobilenet_v2_coco" Is this parameter(like "sample_1_of_n_eval_examples=1") or GPU problem? OS

问题 I'm using Tensorflow object detection API and working on pretrainedd ssd-mobilenet model. is there a way to extact the last global pooling of the mobilenet for each bbox as a feature vector? I can't find the name of the operation holding this info. I've been able to extract detection labels and bboxes based on the example on github: image_tensor = detection_graph.get_tensor_by_name( 'image_tensor:0' ) # Each box represents a part of the image where a particular object was detected. detection

来源： https://stackoverflow.com/questions/61209761/yolo-v3-video-stream-object-detection

来源： https://stackoverflow.com/questions/61209761/yolo-v3-video-stream-object-detection

来源： https://stackoverflow.com/questions/57898577/how-to-reduce-number-of-classes-in-yolov3-files

来源： https://stackoverflow.com/questions/62574058/tensorflowjs-object-detection-coco-ssd-config-file-max-total-detections-explanat

来源： https://stackoverflow.com/questions/58995949/calculating-iou-for-bounding-box-predictions