初步实现车辆跟踪识别模块

src/Carla-YOLO-DeepSort-Multi-Object-Tracking/README.MD

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+# Multi Vehicle tracking in carla simulator 
+
+This repo host a comprehensive solution for multi-object tracking in combination with YOLO and DeepSORT in carla simulator .
+YOLOV8 model is trained on Carla dataset , which is avaiable in kaggle (https://www.kaggle.com/datasets/alechantson/carladataset)
+
+![ezgif com-optimize](https://github.com/Bsornapudi/Carla-YOLO-DeepSort-Multi-Object-Tracking/assets/48683074/c365a981-e314-4cae-b4aa-d234b3de5cfa)
+
+Following software are required before installing required packages
+
+1. Carla simulator : Download Carla simulator and follow the instuction guide - https://carla.readthedocs.io/en/latest/start_quickstart/
+2. CUDA : Download and install CUDA - https://developer.nvidia.com/cuda-downloads
+3. CuDnn : Install Cuda DNN - https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html
+4. Anacoda : https://www.anaconda.com/download
+5. PyMOT : Download / clone this repo for evaluations - https://github.com/Videmo/pymot
+6. Create and activate a new virtural conda env 
+
+    ```
+    conda create --name <env-name> python=3.8
+    conda activate <env-name> 
+        NOTE : <env-name> should be the name of your virtural env
+    ```
+7. Install required packages
+    ```
+    pip install  requirements.txt
+    ```
+8. Once the setup is done Run Calra.exe file to launch simulator
+9. One commapnd prompt or launch jupyter from conda prompt
+10. Run track.ipynb file in jupyter 
+11. Run gt_deepsort.ipynv file followed by evaluate.ipynb to generate MOTA and MOTP values
+NOTE : 
+
+step to check PyTorch compatibility and install an appropriate version based on their CUDA and cuDNN configurations from this link , scroll down and you will see an option to select your system configs and tis will generate PIP INSTALL for CUDnn+torch which is compatable 
+https://pytorch.org/
+
+Eg : pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
+
+

src/Carla-YOLO-DeepSort-Multi-Object-Tracking/requirements.txt

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+asttokens==2.2.1
+backcall==0.2.0
+carla==0.9.14
+certifi==2023.7.22
+charset-normalizer==3.2.0
+colorama==0.4.6
+contourpy==1.1.0
+cycler==0.11.0
+decorator==5.1.1
+easydict==1.10
+executing==1.2.0
+filelock==3.12.2
+fonttools==4.42.0
+idna==3.4
+importlib-resources==6.0.1
+ipdb==0.13.13
+ipython==8.12.2
+jedi==0.19.0
+Jinja2==3.1.2
+kiwisolver==1.4.4
+MarkupSafe==2.1.3
+matplotlib==3.7.2
+matplotlib-inline==0.1.6
+mpmath==1.3.0
+munkres==1.1.4
+networkx==3.1
+numpy==1.24.4
+opencv-python==4.8.0.74
+packaging==23.1
+pandas==2.0.3
+parso==0.8.3
+pascal-voc-writer==0.1.4
+pickleshare==0.7.5
+Pillow==10.0.0
+prompt-toolkit==3.0.39
+psutil==5.9.5
+pure-eval==0.2.2
+py-cpuinfo==9.0.0
+Pygments==2.16.1
+pyparsing==3.0.9
+python-dateutil==2.8.2
+pytz==2023.3
+PyYAML==6.0.1
+requests==2.31.0
+scipy==1.10.1
+seaborn==0.12.2
+six==1.16.0
+stack-data==0.6.2
+sympy==1.12
+tomli==2.0.1
+torch==2.0.1
+torchvision==0.15.2
+tqdm==4.65.2
+traitlets==5.9.0
+typing_extensions==4.7.1
+tzdata==2023.3
+ultralytics==8.0.150
+urllib3==2.0.4
+wcwidth==0.2.6
+zipp==3.16.2
+munkres==1.1.4

src/Carla-YOLO-DeepSort-Multi-Object-Tracking/track.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
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+from yolo_deepsort import main
+track = main()
+track()
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