├── .gitignore ├── README.md ├── distance-estimator ├── generate-csv.py ├── hyperopti.py ├── inference.py ├── models │ ├── model@1535470106.h5 │ ├── model@1535470106.json │ ├── model@1535477330.h5 │ └── model@1535477330.json ├── plot_history.py ├── requirements.txt ├── scripts │ ├── download-kitti-dataset.sh │ └── organize-dataset-format.sh ├── train.py ├── training_continuer.py └── visualizer.py ├── docs ├── GP-Paper.docx ├── GP-Paper.pdf ├── GP-Presentation.pdf └── GP-Presentation.pptx ├── object-detector ├── configure-yolo-yaml.py ├── create-yaml.py ├── data │ ├── Argoverse.yaml │ ├── GlobalWheat2020.yaml │ ├── Objects365.yaml │ ├── SKU-110K.yaml │ ├── VOC.yaml │ ├── VisDrone.yaml │ ├── coco.yaml │ ├── coco128.yaml │ ├── dataset.yaml │ ├── hyps │ │ ├── hyp.Objects365.yaml │ │ ├── hyp.VOC.yaml │ │ ├── hyp.scratch-high.yaml │ │ ├── hyp.scratch-low.yaml │ │ └── hyp.scratch-med.yaml │ ├── scripts │ │ ├── download_weights.sh │ │ ├── get_coco.sh │ │ └── get_coco128.sh │ └── xView.yaml ├── detect.py ├── display-examples.py ├── display-results-graph.py ├── export.py ├── format-dataset.py ├── generate-coordinates-sheet.py ├── hubconf.py ├── models │ ├── __init__.py │ ├── common.py │ ├── experimental.py │ ├── hub │ │ ├── anchors.yaml │ │ ├── yolov3-spp.yaml │ │ ├── yolov3-tiny.yaml │ │ ├── yolov3.yaml │ │ ├── yolov5-bifpn.yaml │ │ ├── yolov5-fpn.yaml │ │ ├── yolov5-p2.yaml │ │ ├── yolov5-p34.yaml │ │ ├── yolov5-p6.yaml │ │ ├── yolov5-p7.yaml │ │ ├── yolov5-panet.yaml │ │ ├── yolov5l6.yaml │ │ ├── yolov5m6.yaml │ │ ├── yolov5n6.yaml │ │ ├── yolov5s-ghost.yaml │ │ ├── yolov5s-transformer.yaml │ │ ├── yolov5s6.yaml │ │ └── yolov5x6.yaml │ ├── tf.py │ ├── yolo.py │ ├── yolov5l.yaml │ ├── yolov5m.yaml │ ├── yolov5n.yaml │ ├── yolov5s.yaml │ └── yolov5x.yaml ├── requirements.txt ├── scripts │ ├── download-flir-dataset.sh │ └── download-training-results.sh ├── setup.cfg ├── setup.py ├── train.py ├── training-results │ ├── F1_curve.png │ ├── PR_curve.png │ ├── P_curve.png │ ├── R_curve.png │ ├── confusion_matrix.png │ ├── events.out.tfevents.1649320718.643dfe7de3d8.3864.0 │ ├── hyp.yaml │ ├── labels.jpg │ ├── labels_correlogram.jpg │ ├── opt.yaml │ ├── results.csv │ ├── results.png │ ├── train_batch0.jpg │ ├── train_batch1.jpg │ ├── train_batch2.jpg │ ├── val_batch0_labels.jpg │ ├── val_batch0_pred.jpg │ ├── val_batch1_labels.jpg │ ├── val_batch1_pred.jpg │ ├── val_batch2_labels.jpg │ ├── val_batch2_pred.jpg │ └── weights │ │ ├── best.pt │ │ └── last.pt ├── utils │ ├── __init__.py │ ├── activations.py │ ├── augmentations.py │ ├── autoanchor.py │ ├── autobatch.py │ ├── aws │ │ ├── __init__.py │ │ ├── mime.sh │ │ ├── resume.py │ │ └── userdata.sh │ ├── benchmarks.py │ ├── callbacks.py │ ├── dataloaders.py │ ├── docker │ │ ├── .dockerignore │ │ ├── Dockerfile │ │ ├── Dockerfile-arm64 │ │ └── Dockerfile-cpu │ ├── downloads.py │ ├── flask_rest_api │ │ ├── README.md │ │ ├── example_request.py │ │ └── restapi.py │ ├── general.py │ ├── google_app_engine │ │ ├── Dockerfile │ │ ├── additional_requirements.txt │ │ └── app.yaml │ ├── loggers │ │ ├── __init__.py │ │ └── wandb │ │ │ ├── README.md │ │ │ ├── __init__.py │ │ │ ├── log_dataset.py │ │ │ ├── sweep.py │ │ │ ├── sweep.yaml │ │ │ └── wandb_utils.py │ ├── loss.py │ ├── metrics.py │ ├── plots.py │ └── torch_utils.py ├── val.py └── yolov5s.pt └── tutorials ├── distance_estimation.ipynb └── object_detection.ipynb /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/RmdanJr/vehicle-distance-estimation/HEAD/.gitignore -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/RmdanJr/vehicle-distance-estimation/HEAD/README.md -------------------------------------------------------------------------------- /distance-estimator/generate-csv.py: 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