多類別的影像語意分割 multi-class semantic segmentation
透過Labelme標註的訓練資料：
令人驚豔的模型推論結果：
推論結果：
推論結果：
推論結果：
推論結果：
Preliminary training: deepracer-github-simapp.tar.gz Reward function: ./opt/install/sagemaker_rl_agent/lib/python3.5/site-packages/markov/environments/deepracer_env.py action = [steering_angle, throttle] TRAINING_IMAGE_SIZE = (160, 120) Plotted waypoints in vertices array of hard track Parameters: on_track, x, y, distance_from_center, car_orientation, progress, steps, throttle, steering, track_width, waypoints, closest_waypoints Note: Above picture is from https://yanpanlau.github.io/2016/10/11/Torcs-Keras.html
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