First, download the models (By default, ctdet_coco_dla_2x for detection and multi_pose_dla_3x for human pose estimation) from the Model zoo and put them in CenterNet_ROOT/models/. For object detection on images/ video, run: python demo.py ctdet --demo /path/to/image/or/folder/or/vid...
Dec 2019:v0.3.0versionof AlphaPose is released! Smaller model, higher accuracy! Apr 2019:MXNetversionof AlphaPose is released! It runs at23 fpson COCO validation set. Feb 2019:CrowdPoseis integrated into AlphaPose Now! Dec 2018:General versionof PoseFlow is released! 3X Faster and support pos...
#convert ST-GCN model with 3D poses, input sequence length of 300, and 34 keypoints: tao-converter <etlt_model> \ -k <key_to_etlt_model> \ -d 3,300,34,1 \ -p input,1x3x300x34x1,4x3x300x34x1,16x3x300x34x1 \ -o fc_pred \ -t fp16 \ -m 16 \ -e <path_to_generated...
#convert ST-GCN model with 3D poses, input sequence length of 300, and 34 keypoints: tao-converter <etlt_model> \ -k <key_to_etlt_model> \ -d 3,300,34,1 \ -p input,1x3x300x34x1,4x3x300x34x1,16x3x300x34x1 \ -o fc_pred \ -t fp16 \ -m 16 \ -e <path_to_generated...
First, download the models (By default,ctdet_coco_dla_2xfor detection andmulti_pose_dla_3xfor human pose estimation) from theModel zooand put them inCenterNet_ROOT/models/. For object detection on images/ video, run: python demo.py ctdet --demo /path/to/image/or/folder/or/video --load...
First, download the models (By default, ctdet_coco_dla_2x for detection and multi_pose_dla_3x for human pose estimation) from the Model zoo and put them in CenterNet_ROOT/models/. For object detection on images/ video, run: python demo.py ctdet --demo /path/to/image/or/folder/or/vid...
trtexec --onnx=/path/to/model.onnx \ --maxShapes=inputs:16x3x512x512 \ --minShapes=inputs:1x3x512x512 \ --optShapes=inputs:8x3x512x512 \ --calib=/path/to/int8/calib.txt \ --fp16 \ --int8 \ --saveEngine=/path/to/save/trt/model.enginePrevious...
Sample Command for a PoseClassificationNet Model To generate an .onnx file for PoseClassificationNet, refer to the PoseClassificationNet documentation. PoseClassificationNet currently does not support INT8 calibration. Copy Copied! trtexec --onnx=/path/to/model.onnx \ --maxShapes=input:16x3x300...
First, download the models (By default, ctdet_coco_dla_2x for detection and multi_pose_dla_3x for human pose estimation) from the Model zoo and put them in CenterNet_ROOT/models/. For object detection on images/ video, run: python demo.py ctdet --demo /path/to/image/or/folder/or/vid...
First, download the models (By default, ctdet_coco_dla_2x for detection and multi_pose_dla_3x for human pose estimation) from the Model zoo and put them in CenterNet_ROOT/models/. For object detection on images/ video, run: python demo.py ctdet --demo /path/to/image/or/folder/or/vid...