├── .gitignore ├── .vscode └── settings.json ├── 2025 Map from vision ├── Readme.txt ├── apply model and render video.py ├── cache │ └── no_rendering_mode │ │ └── Town04_b94f36b40ec550eb9fdfd8f89801bff8982b3f24.tga ├── clean_img_map.py ├── deepseek.py ├── generate training images1.py ├── generate training images2.py ├── gpt_way.py ├── locate_green_arrow.py ├── map_grab_continue.py ├── map_grab_loop_all.py ├── sync_folders.py ├── test_on_tesla_video.py ├── torch_model.py ├── torch_model_2.py ├── torch_model_3.py └── utilities.ipynb ├── 2025 RL with temporal ├── Readme.txt ├── carenv.py ├── carenv_oth.py ├── check_env.py └── train.py ├── 2025 Using Examples ├── build_from_examples_1.py ├── build_from_examples_2.py ├── build_from_examples_3.py ├── build_from_examples_4.py ├── build_from_examples_5.py ├── build_from_examples_6.py └── readme.txt ├── First Dumb Lane Model ├── step1_generate_images.py ├── step2_Model_Build.ipynb ├── step3_apply_model_display_angle.py └── step4_apply_model_apply_steer.py ├── GPS with Vision ├── preps.ipynb ├── step 1 new generate img.ipynb ├── step 1 old gen images.ipynb ├── step 2 train model on images.ipynb ├── step 3 apply model.ipynb └── step 4 generate images for lanes vs interse3ctions.ipynb ├── Map Projection ├── Readme.txt ├── clean_img_map.py ├── map_grab_build1.py ├── model_build.ipynb └── workings.ipynb ├── Map import └── import.ipynb ├── New PC installs for Carla 0.9.15.txt ├── RL ├── GPS_Visual_Model_SpinV3_for_RL │ ├── keras_metadata.pb │ ├── saved_model.pb │ └── variables │ │ ├── variables.data-00000-of-00001 │ │ └── variables.index ├── GPS_Visual_Model_SpinV4_for_RL │ ├── keras_metadata.pb │ ├── saved_model.pb │ └── variables │ │ ├── variables.data-00000-of-00001 │ │ └── variables.index ├── RL skeleton.txt ├── carenv.py ├── carenv_route_cheat.py ├── carenv_route_steer.py ├── carenv_steer_CNN_prep blank.py ├── carenv_steer_only.py ├── carenv_steer_only_cnn.py ├── carenv_steer_only_cnn_test.py ├── carenv_steer_only_spin.py ├── model_saved_from_CNN.h5 ├── requirements.txt ├── test cnn steer.py ├── test.py ├── train saved.py ├── train steer cnn.py ├── train steer spin.py ├── train steer.py ├── train.py ├── train_cheat.py └── workings.ipynb ├── RL1 ├── environment.py ├── environment_1_steer.py ├── environment_3_fail.py ├── test.py ├── train saved.py ├── train.py ├── working.ipynb └── workings lane info.ipynb ├── RL_Full_Tutorial ├── checker.py ├── environment.py ├── key requirements in py39.txt ├── model_saved_from_CNN.h5 ├── requirements.txt ├── step by step env setup.txt ├── train.py └── train_image_model.py ├── Semantic segmentation ├── colours.py ├── flip images.ipynb ├── generate images.py ├── step1_calibrate_camera_to_tesla.ipynb ├── step2_generate_img_without_traffic.py ├── step2a_generate_img.py ├── step3_generate_img_with_traffic.py ├── step4_adjust_masks.ipynb ├── step5_model build.ipynb ├── step6 test lane model on sim.ipynb ├── step7_model_build_improve.ipynb └── workings.ipynb ├── Tutorials ├── .ipynb_checkpoints │ ├── tutorial_1-checkpoint.ipynb │ ├── tutorial_2_positioning-checkpoint.ipynb │ ├── tutorial_3 milestone 1-checkpoint.ipynb │ └── tutorial_semantic-checkpoint.ipynb ├── tutorial_1.ipynb ├── tutorial_2_positioning.ipynb ├── tutorial_3 milestone 1.ipynb ├── tutorial_4_simple_navigation.ipynb ├── tutorial_5_drawing_map.ipynb ├── tutorial_6_check_camera.ipynb ├── tutorial_7_following_car.ipynb └── tutorial_semantic.ipynb ├── Video Utils ├── curved arrows.ipynb ├── top down spin.ipynb ├── vectors direction.ipynb └── weather.ipynb ├── models └── 1700985333 │ └── readme.txt ├── philtabor ├── main.py ├── ppo_torch.py └── utils.py └── utils and building blocks ├── Utility.ipynb ├── apply_model_steering.py ├── check_torch_gpu.py ├── navigation.py └── util_maintain_given_speed.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/vadim7s/SelfDrive/HEAD/.gitignore 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