WHENet头部姿态估计代码+onnx模型

[{"title":"（ 49 个子文件 510.25MB ） WHENet头部姿态估计代码+onnx模型","children":[{"title":"HeadPoseEstimation-WHENet-yolov4-onnx-main","children":[{"title":"test.jpg <span style='color:#111;'> 121.05KB </span>","children":null,"spread":false},{"title":"batchsize_clear.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"saved_model_224x224","children":[{"title":"saved_model_224x224","children":[{"title":"yolov4_headdetection_480x640.onnx <span style='color:#111;'> 243.89MB </span>","children":null,"spread":false},{"title":"whenet_rtx3070.trt <span style='color:#111;'> 10.38MB </span>","children":null,"spread":false},{"title":"openvino","children":[{"title":"myriad","children":[{"title":"whenet_224x224.blob <span style='color:#111;'> 14.62MB </span>","children":null,"spread":false}],"spread":true},{"title":"FP32","children":[{"title":"whenet_224x224.xml <span style='color:#111;'> 245.49KB </span>","children":null,"spread":false},{"title":"whenet_224x224.bin <span style='color:#111;'> 16.44MB </span>","children":null,"spread":false},{"title":"whenet_224x224.mapping <span style='color:#111;'> 145.84KB </span>","children":null,"spread":false}],"spread":true},{"title":"FP16","children":[{"title":"whenet_224x224.xml <span style='color:#111;'> 245.39KB </span>","children":null,"spread":false},{"title":"whenet_224x224.bin <span style='color:#111;'> 8.22MB </span>","children":null,"spread":false},{"title":"whenet_224x224.mapping <span style='color:#111;'> 145.84KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"model_coreml_float32.mlmodel <span style='color:#111;'> 16.48MB </span>","children":null,"spread":false},{"title":"whenet_224x224_8batch.onnx <span style='color:#111;'> 16.51MB </span>","children":null,"spread":false},{"title":"model_float32.onnx <span style='color:#111;'> 16.51MB </span>","children":null,"spread":false},{"title":"model_float32.pb <span style='color:#111;'> 16.52MB </span>","children":null,"spread":false},{"title":"assets","children":null,"spread":false},{"title":"model_full_integer_quant.tflite <span style='color:#111;'> 4.96MB </span>","children":null,"spread":false},{"title":"model_float32.tflite <span style='color:#111;'> 16.50MB </span>","children":null,"spread":false},{"title":"frozen_model.pb <span style='color:#111;'> 16.78MB </span>","children":null,"spread":false},{"title":"model_integer_quant.tflite <span style='color:#111;'> 4.96MB </span>","children":null,"spread":false},{"title":"model_dynamic_range_quant.tflite <span style='color:#111;'> 4.85MB </span>","children":null,"spread":false},{"title":"model_full_integer_quant_edgetpu.tflite <span style='color:#111;'> 6.58MB </span>","children":null,"spread":false},{"title":"whenet_224x224_4batch.onnx <span style='color:#111;'> 16.51MB </span>","children":null,"spread":false},{"title":"tfjs_model_float16","children":[{"title":"model.json <span style='color:#111;'> 173.28KB </span>","children":null,"spread":false},{"title":"group1-shard3of3.bin <span style='color:#111;'> 225.27KB </span>","children":null,"spread":false},{"title":"group1-shard2of3.bin <span style='color:#111;'> 4.00MB </span>","children":null,"spread":false},{"title":"group1-shard1of3.bin <span style='color:#111;'> 4.00MB </span>","children":null,"spread":false}],"spread":false},{"title":"model_weight_quant.tflite <span style='color:#111;'> 4.85MB </span>","children":null,"spread":false},{"title":"yolov4_tiny_3l_headdetection_480x640.onnx <span style='color:#111;'> 23.39MB </span>","children":null,"spread":false},{"title":"tfjs_model_float32","children":[{"title":"group1-shard1of5.bin <span style='color:#111;'> 4.00MB </span>","children":null,"spread":false},{"title":"model.json <span style='color:#111;'> 162.33KB </span>","children":null,"spread":false},{"title":"group1-shard5of5.bin <span style='color:#111;'> 449.98KB </span>","children":null,"spread":false},{"title":"group1-shard4of5.bin <span style='color:#111;'> 4.00MB </span>","children":null,"spread":false},{"title":"group1-shard2of5.bin <span style='color:#111;'> 4.00MB </span>","children":null,"spread":false},{"title":"group1-shard3of5.bin <span style='color:#111;'> 4.00MB </span>","children":null,"spread":false}],"spread":false},{"title":"model_float16_quant.tflite <span style='color:#111;'> 8.31MB </span>","children":null,"spread":false},{"title":"saved_model.pb <span style='color:#111;'> 11.35MB </span>","children":null,"spread":false},{"title":"whenet_224x224_16batch.onnx <span style='color:#111;'> 16.51MB </span>","children":null,"spread":false},{"title":"variables","children":[{"title":"variables.index <span style='color:#111;'> 6.13KB </span>","children":null,"spread":false},{"title":"variables.data-00000-of-00001 <span style='color:#111;'> 15.14MB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true},{"title":"shrunk.onnx <span style='color:#111;'> 1.78KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"whenet_1x3x224x224_prepost_disable_front_side_detection.onnx <span style='color:#111;'> 16.52MB </span>","children":null,"spread":false},{"title":"whenet_1x3x224x224_prepost.onnx <span style='color:#111;'> 16.52MB </span>","children":null,"spread":false},{"title":"demo_video.py <span style='color:#111;'> 12.84KB </span>","children":null,"spread":false},{"title":"make_pre_process.py <span style='color:#111;'> 786B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 98B </span>","children":null,"spread":false},{"title":"convert_script.txt <span style='color:#111;'> 4.80KB </span>","children":null,"spread":false},{"title":"make_post_process.py <span style='color:#111;'> 1.38KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.44KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]