基于YOLOv8的车辆轨迹识别与目标检测研究分析软件源代码+详细文档

[{"title":"（ 574 个子文件 214.13MB ） 基于YOLOv8的车辆轨迹识别与目标检测研究分析软件源代码+详细文档","children":[{"title":"labels.cache <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"main.cc <span style='color:#111;'> 10.39KB </span>","children":null,"spread":false},{"title":"CITATION.cff <span style='color:#111;'> 764B </span>","children":null,"spread":false},{"title":"CNAME <span style='color:#111;'> 21B </span>","children":null,"spread":false},{"title":"inference.cpp <span style='color:#111;'> 13.00KB </span>","children":null,"spread":false},{"title":"inference.cpp <span style='color:#111;'> 5.50KB </span>","children":null,"spread":false},{"title":"main.cpp <span style='color:#111;'> 5.45KB </span>","children":null,"spread":false},{"title":"main.cpp <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"style.css <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"Dockerfile <span style='color:#111;'> 3.78KB </span>","children":null,"spread":false},{"title":"Dockerfile-arm64 <span style='color:#111;'> 2.53KB </span>","children":null,"spread":false},{"title":"Dockerfile-conda <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false},{"title":"Dockerfile-cpu <span style='color:#111;'> 2.59KB </span>","children":null,"spread":false},{"title":"Dockerfile-jetson <span style='color:#111;'> 2.47KB </span>","children":null,"spread":false},{"title":"Dockerfile-python <span style='color:#111;'> 2.49KB </span>","children":null,"spread":false},{"title":"Dockerfile-runner <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 2.25KB </span>","children":null,"spread":false},{"title":"inference.h <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false},{"title":"inference.h <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false},{"title":"comments.html <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"source-file.html <span style='color:#111;'> 858B </span>","children":null,"spread":false},{"title":"main.html <span style='color:#111;'> 439B </span>","children":null,"spread":false},{"title":"favicon.ico <span style='color:#111;'> 9.44KB </span>","children":null,"spread":false},{"title":"tutorial.ipynb <span style='color:#111;'> 34.52KB </span>","children":null,"spread":false},{"title":"object_tracking.ipynb <span style='color:#111;'> 8.15KB </span>","children":null,"spread":false},{"title":"object_counting.ipynb <span style='color:#111;'> 6.42KB </span>","children":null,"spread":false},{"title":"heatmaps.ipynb <span style='color:#111;'> 6.29KB </span>","children":null,"spread":false},{"title":"hub.ipynb <span style='color:#111;'> 3.93KB </span>","children":null,"spread":false},{"title":"road.jpg <span style='color:#111;'> 109.10KB </span>","children":null,"spread":false},{"title":"extra.js <span style='color:#111;'> 3.12KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 33.71KB </span>","children":null,"spread":false},{"title":"predict.md <span style='color:#111;'> 46.73KB </span>","children":null,"spread":false},{"title":"cfg.md <span style='color:#111;'> 41.82KB </span>","children":null,"spread":false},{"title":"train.md <span style='color:#111;'> 28.55KB </span>","children":null,"spread":false},{"title":"model-deployment-options.md <span style='color:#111;'> 22.77KB </span>","children":null,"spread":false},{"title":"yolov8.md <span style='color:#111;'> 20.39KB </span>","children":null,"spread":false},{"title":"openvino.md <span style='color:#111;'> 20.11KB </span>","children":null,"spread":false},{"title":"quickstart.md <span style='color:#111;'> 18.53KB </span>","children":null,"spread":false},{"title":"heatmaps.md <span style='color:#111;'> 17.20KB </span>","children":null,"spread":false},{"title":"yolo-world.md <span style='color:#111;'> 17.07KB </span>","children":null,"spread":false},{"title":"yolo-common-issues.md <span style='color:#111;'> 16.84KB </span>","children":null,"spread":false},{"title":"nvidia-jetson.md <span style='color:#111;'> 16.62KB </span>","children":null,"spread":false},{"title":"train_custom_data.md <span style='color:#111;'> 16.52KB </span>","children":null,"spread":false},{"title":"track.md <span style='color:#111;'> 16.22KB </span>","children":null,"spread":false},{"title":"roboflow.md <span style='color:#111;'> 15.99KB </span>","children":null,"spread":false},{"title":"model_export.md <span style='color:#111;'> 14.81KB </span>","children":null,"spread":false},{"title":"inference-api.md <span style='color:#111;'> 14.76KB </span>","children":null,"spread":false},{"title":"isolating-segmentation-objects.md <span style='color:#111;'> 14.75KB </span>","children":null,"spread":false},{"title":"pytorch_hub_model_loading.md <span style='color:#111;'> 14.37KB </span>","children":null,"spread":false},{"title":"simple-utilities.md <span style='color:#111;'> 14.11KB </span>","children":null,"spread":false},{"title":"yolov9.md <span style='color:#111;'> 13.69KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 13.61KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 13.13KB </span>","children":null,"spread":false},{"title":"sam.md <span style='color:#111;'> 12.99KB </span>","children":null,"spread":false},{"title":"CI.md <span style='color:#111;'> 12.81KB </span>","children":null,"spread":false},{"title":"pose.md <span style='color:#111;'> 12.41KB </span>","children":null,"spread":false},{"title":"kfold-cross-validation.md <span style='color:#111;'> 12.32KB </span>","children":null,"spread":false},{"title":"python.md <span style='color:#111;'> 12.11KB </span>","children":null,"spread":false},{"title":"object-counting.md <span style='color:#111;'> 12.05KB </span>","children":null,"spread":false},{"title":"architecture_description.md <span style='color:#111;'> 11.98KB </span>","children":null,"spread":false},{"title":"obb.md <span style='color:#111;'> 11.80KB </span>","children":null,"spread":false},{"title":"segment.md <span style='color:#111;'> 11.68KB </span>","children":null,"spread":false},{"title":"yolo-performance-metrics.md <span style='color:#111;'> 11.36KB </span>","children":null,"spread":false},{"title":"multi_gpu_training.md <span style='color:#111;'> 11.22KB </span>","children":null,"spread":false},{"title":"projects.md <span style='color:#111;'> 11.16KB </span>","children":null,"spread":false},{"title":"classify.md <span style='color:#111;'> 11.09KB </span>","children":null,"spread":false},{"title":"detect.md <span style='color:#111;'> 11.04KB </span>","children":null,"spread":false},{"title":"hyperparameter_evolution.md <span style='color:#111;'> 10.89KB </span>","children":null,"spread":false},{"title":"clearml_logging_integration.md <span style='color:#111;'> 10.85KB </span>","children":null,"spread":false},{"title":"ray-tune.md <span style='color:#111;'> 10.85KB </span>","children":null,"spread":false},{"title":"comet_logging_integration.md <span style='color:#111;'> 10.83KB </span>","children":null,"spread":false},{"title":"neural_magic_pruning_quantization.md <span style='color:#111;'> 10.76KB </span>","children":null,"spread":false},{"title":"test_time_augmentation.md <span style='color:#111;'> 10.72KB </span>","children":null,"spread":false},{"title":"yolov5.md <span style='color:#111;'> 10.69KB </span>","children":null,"spread":false},{"title":"tensorboard.md <span style='color:#111;'> 10.41KB </span>","children":null,"spread":false},{"title":"amazon-sagemaker.md <span style='color:#111;'> 10.34KB </span>","children":null,"spread":false},{"title":"clearml.md <span style='color:#111;'> 10.24KB </span>","children":null,"spread":false},{"title":"model_ensembling.md <span style='color:#111;'> 10.15KB </span>","children":null,"spread":false},{"title":"android.md <span style='color:#111;'> 10.04KB </span>","children":null,"spread":false},{"title":"running_on_jetson_nano.md <span style='color:#111;'> 9.96KB </span>","children":null,"spread":false},{"title":"weights-biases.md <span style='color:#111;'> 9.95KB </span>","children":null,"spread":false},{"title":"workouts-monitoring.md <span style='color:#111;'> 9.80KB </span>","children":null,"spread":false},{"title":"index.md <span style='color:#111;'> 9.77KB </span>","children":null,"spread":false},{"title":"index.md <span style='color:#111;'> 9.71KB </span>","children":null,"spread":false},{"title":"fast-sam.md <span style='color:#111;'> 9.70KB </span>","children":null,"spread":false},{"title":"hyperparameter-tuning.md <span style='color:#111;'> 9.66KB </span>","children":null,"spread":false},{"title":"cli.md <span style='color:#111;'> 9.49KB </span>","children":null,"spread":false},{"title":"torchscript.md <span style='color:#111;'> 9.37KB </span>","children":null,"spread":false},{"title":"dvc.md <span style='color:#111;'> 9.33KB </span>","children":null,"spread":false},{"title":"export.md <span style='color:#111;'> 9.27KB </span>","children":null,"spread":false},{"title":"index.md <span style='color:#111;'> 9.21KB </span>","children":null,"spread":false},{"title":"neural-magic.md <span style='color:#111;'> 9.17KB </span>","children":null,"spread":false},{"title":"comet.md <span style='color:#111;'> 8.82KB </span>","children":null,"spread":false},{"title":"vision-eye.md <span style='color:#111;'> 8.63KB </span>","children":null,"spread":false},{"title":"model_pruning_and_sparsity.md <span style='color:#111;'> 8.63KB </span>","children":null,"spread":false},{"title":"queue-management.md <span style='color:#111;'> 8.59KB </span>","children":null,"spread":false},{"title":"tf-savedmodel.md <span style='color:#111;'> 8.48KB </span>","children":null,"spread":false},{"title":"paddlepaddle.md <span style='color:#111;'> 8.47KB </span>","children":null,"spread":false},{"title":"index.md <span style='color:#111;'> 8.43KB </span>","children":null,"spread":false},{"title":"datasets.md <span style='color:#111;'> 8.39KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多，未全部展示</span>","children":null,"spread":false}],"spread":true}]