~/Repositories/oak-model-samples/facial_landmarks_35_adas
$ python3 main.py -cam
[14442C10A1E2F0D000] [39.276] [NeuralNetwork(4)] [warning] Network compiled for 4 shaves, maximum available 16, compiling for 8 shaves likely will yield in better performance
[14442C10A1E2F0D000] [1.986] [NeuralNetwork(4)] [warning] Network compiled for 4 shaves, maximum available 13, compiling for 6 shaves likely will yield in better performance
[14442C10A1E2F0D000] [2.028] [NeuralNetwork(1)] [warning] Network compiled for 4 shaves, maximum available 13, compiling for 6 shaves likely will yield in better performance
[14442C10A1E2F0D000] [2.037] [NeuralNetwork(4)] [warning] The issued warnings are orientative, based on optimal settings for a single network, if multiple networks are running in parallel the optimal settings may vary
[14442C10A1E2F0D000] [2.037] [NeuralNetwork(1)] [warning] The issued warnings are orientative, based on optimal settings for a single network, if multiple networks are running in parallel the optimal settings may vary
Traceback (most recent call last):
File "main.py", line 17, in <module>
main()
File "main.py", line 13, in main
inference(model_cls, root_model_path, visualization)
File "/home/drew/Repositories/oak-model-samples/facial_landmarks_35_adas/oak_inference_utils/inference.py", line 65, in inference
inference_results = process_cam(model, visualization_func)
File "/home/drew/Repositories/oak-model-samples/facial_landmarks_35_adas/oak_inference_utils/inference.py", line 50, in process_cam
ret, proceed = process_frame(image, model, visualization_func)
File "/home/drew/Repositories/oak-model-samples/facial_landmarks_35_adas/oak_inference_utils/inference.py", line 14, in process_frame
ret = model.process_sample(Image.fromarray(image))
File "/home/drew/Repositories/oak-model-samples/facial_landmarks_35_adas/oak_inference_utils/base_model.py", line 165, in process_sample
data = self.preprocess([image])
File "/home/drew/Repositories/oak-model-samples/facial_landmarks_35_adas/facial_landmarks_35_adas/model.py", line 34, in preprocess
face_bboxes = self.get_first_stage_result(data)
File "/home/drew/Repositories/oak-model-samples/facial_landmarks_35_adas/oak_inference_utils/base_model.py", line 260, in get_first_stage_result
first_stage_output = self.first_stage.forward(
File "/home/drew/Repositories/oak-model-samples/facial_landmarks_35_adas/facial_landmarks_35_adas/face_processing.py", line 94, in forward
assert wait_for_results(out_queue)
AssertionError
Ubuntu 20.10 and Python 3.8.
My guess is that Python 3.8 is the problem.