CarND-Detect-Lane-Lines-And-Vehicles
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ericlavigne
Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.
File "main.py", line 532, in main() File "main.py", line 526, in main transform_image_files(lambda img: video_processor(lane_model=lane_model,car_model=car_model,calibration=calibration).process_image(img), File "main.py", line 57, in transform_image_files dst_img = transformation(img) File "main.py", line 526, in transform_image_files(lambda...
Hello, In the step of running the project, I get the following error. File "main.py", line 407, in annotate_original_image if lane_markings_img != None: The truth value of an array with...
I have implemented SCNN using Tensorflow and put the full codes [here](https://github.com/cardwing/Codes-for-Lane-Detection). You can test the code in popular lane detection benchmarks like TuSimple, CULane and BDD100K or your custom...
Traceback (most recent call last): File "main.py", line 529, in main() File "main.py", line 522, in main 'output_images/birds_eye_lines') File "main.py", line 54, in transform_image_files dst_img = transformation(img) File "main.py", line...
hello，i am using the program to process my own videos which are already resize to 1280*720,and error below is appearing. ` File "C:\Users\10401\AppData\Local\conda\conda\envs\TensorFlow\lib\site-packages\numpy\core\_methods.py", line 29, in _amin return umr_minimum(a, axis,...
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Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.