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Browse files- __pycache__/a_control_classification.cpython-311.pyc +0 -0
- __pycache__/a_utils_func_2_model.cpython-311.pyc +0 -0
- __pycache__/setting_AI.cpython-311.pyc +0 -0
- classification/__pycache__/__init__.cpython-311.pyc +0 -0
- classification/__pycache__/inference_onnx.cpython-311.pyc +0 -0
- classification/inference_onnx.py +1 -1
- dataCSV/classification.csv +0 -1487
- requirements.txt +2 -1
- ultrafast/__pycache__/inference_onnx.cpython-311.pyc +0 -0
- ultrafast/__pycache__/ultrafastLaneDetector.cpython-311.pyc +0 -0
- ultrafast/inference_onnx.py +1 -4
- ultrafast/ultrafastLaneDetector.py +2 -1
__pycache__/a_control_classification.cpython-311.pyc
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Binary file (1.46 kB). View file
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__pycache__/a_utils_func_2_model.cpython-311.pyc
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Binary file (8.89 kB). View file
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__pycache__/setting_AI.cpython-311.pyc
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Binary file (679 Bytes). View file
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classification/__pycache__/__init__.cpython-311.pyc
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Binary files a/classification/__pycache__/__init__.cpython-311.pyc and b/classification/__pycache__/__init__.cpython-311.pyc differ
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classification/__pycache__/inference_onnx.cpython-311.pyc
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Binary files a/classification/__pycache__/inference_onnx.cpython-311.pyc and b/classification/__pycache__/inference_onnx.cpython-311.pyc differ
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classification/inference_onnx.py
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@@ -44,6 +44,7 @@ def load_model(model_path: str):
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dirname = os.path.dirname(__file__)
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session = load_model(os.path.join(dirname, "./model/model_16.onnx"))
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def prepare_input(image: NDArray[np.uint8]) -> NDArray[np.float16]:
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@@ -179,7 +180,6 @@ def process_video(
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def inference_classification(image):
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predicted_class, probabilities = inference(image)
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-
print(f"Predicted Class: {predicted_class}, Probabilities: {probabilities}")
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ADD_DATA_CSV_CLASSIFICATION(predicted_class)
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CHECK_CSV_CLASSIFICATION()
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dirname = os.path.dirname(__file__)
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session = load_model(os.path.join(dirname, "./model/model_16.onnx"))
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+
print("model_path classification", os.path.join(dirname, "./model/model_16.onnx"))
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def prepare_input(image: NDArray[np.uint8]) -> NDArray[np.float16]:
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def inference_classification(image):
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predicted_class, probabilities = inference(image)
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ADD_DATA_CSV_CLASSIFICATION(predicted_class)
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CHECK_CSV_CLASSIFICATION()
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dataCSV/classification.csv
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|
| 731 |
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RIGHT
|
| 732 |
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RIGHT
|
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RIGHT
|
| 734 |
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RIGHT
|
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RIGHT
|
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RIGHT
|
| 737 |
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RIGHT
|
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RIGHT
|
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-
RIGHT
|
| 740 |
-
LEFT
|
| 741 |
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LEFT
|
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-
LEFT
|
| 743 |
-
STRAIGHT
|
| 744 |
-
RIGHT
|
| 745 |
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RIGHT
|
| 746 |
-
RIGHT
|
| 747 |
-
RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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LEFT
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RIGHT
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RIGHT
|
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RIGHT
|
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RIGHT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
| 767 |
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LEFT
|
| 768 |
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RIGHT
|
| 769 |
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LEFT
|
| 770 |
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LEFT
|
| 771 |
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RIGHT
|
| 772 |
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
| 777 |
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RIGHT
|
| 778 |
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RIGHT
|
| 779 |
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RIGHT
|
| 780 |
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RIGHT
|
| 781 |
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RIGHT
|
| 782 |
-
RIGHT
|
| 783 |
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RIGHT
|
| 784 |
-
RIGHT
|
| 785 |
-
STRAIGHT
|
| 786 |
-
STRAIGHT
|
| 787 |
-
STRAIGHT
|
| 788 |
-
STRAIGHT
|
| 789 |
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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RIGHT
|
| 797 |
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RIGHT
|
| 798 |
-
RIGHT
|
| 799 |
-
RIGHT
|
| 800 |
-
RIGHT
|
| 801 |
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RIGHT
|
| 802 |
-
RIGHT
|
| 803 |
-
RIGHT
|
| 804 |
-
RIGHT
|
| 805 |
-
RIGHT
|
| 806 |
-
RIGHT
|
| 807 |
-
STRAIGHT
|
| 808 |
-
STRAIGHT
|
| 809 |
-
STRAIGHT
|
| 810 |
-
RIGHT
|
| 811 |
-
STRAIGHT
|
| 812 |
-
STRAIGHT
|
| 813 |
-
RIGHT
|
| 814 |
-
STRAIGHT
|
| 815 |
-
STRAIGHT
|
| 816 |
-
STRAIGHT
|
| 817 |
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RIGHT
|
| 818 |
-
RIGHT
|
| 819 |
-
STRAIGHT
|
| 820 |
-
STRAIGHT
|
| 821 |
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RIGHT
|
| 822 |
-
RIGHT
|
| 823 |
-
RIGHT
|
| 824 |
-
RIGHT
|
| 825 |
-
RIGHT
|
| 826 |
-
RIGHT
|
| 827 |
-
RIGHT
|
| 828 |
-
STRAIGHT
|
| 829 |
-
STRAIGHT
|
| 830 |
-
STRAIGHT
|
| 831 |
-
STRAIGHT
|
| 832 |
-
STRAIGHT
|
| 833 |
-
STRAIGHT
|
| 834 |
-
STRAIGHT
|
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-
STRAIGHT
|
| 836 |
-
STRAIGHT
|
| 837 |
-
STRAIGHT
|
| 838 |
-
STRAIGHT
|
| 839 |
-
STRAIGHT
|
| 840 |
-
STRAIGHT
|
| 841 |
-
STRAIGHT
|
| 842 |
-
STRAIGHT
|
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-
STRAIGHT
|
| 844 |
-
STRAIGHT
|
| 845 |
-
RIGHT
|
| 846 |
-
RIGHT
|
| 847 |
-
RIGHT
|
| 848 |
-
RIGHT
|
| 849 |
-
RIGHT
|
| 850 |
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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-
RIGHT
|
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-
RIGHT
|
| 865 |
-
RIGHT
|
| 866 |
-
RIGHT
|
| 867 |
-
RIGHT
|
| 868 |
-
RIGHT
|
| 869 |
-
RIGHT
|
| 870 |
-
RIGHT
|
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-
RIGHT
|
| 872 |
-
RIGHT
|
| 873 |
-
RIGHT
|
| 874 |
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RIGHT
|
| 875 |
-
RIGHT
|
| 876 |
-
RIGHT
|
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-
RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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-
RIGHT
|
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RIGHT
|
| 883 |
-
RIGHT
|
| 884 |
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RIGHT
|
| 885 |
-
RIGHT
|
| 886 |
-
RIGHT
|
| 887 |
-
RIGHT
|
| 888 |
-
RIGHT
|
| 889 |
-
RIGHT
|
| 890 |
-
RIGHT
|
| 891 |
-
RIGHT
|
| 892 |
-
RIGHT
|
| 893 |
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RIGHT
|
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-
RIGHT
|
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-
RIGHT
|
| 896 |
-
RIGHT
|
| 897 |
-
RIGHT
|
| 898 |
-
RIGHT
|
| 899 |
-
RIGHT
|
| 900 |
-
RIGHT
|
| 901 |
-
RIGHT
|
| 902 |
-
RIGHT
|
| 903 |
-
RIGHT
|
| 904 |
-
RIGHT
|
| 905 |
-
RIGHT
|
| 906 |
-
RIGHT
|
| 907 |
-
RIGHT
|
| 908 |
-
RIGHT
|
| 909 |
-
RIGHT
|
| 910 |
-
RIGHT
|
| 911 |
-
RIGHT
|
| 912 |
-
RIGHT
|
| 913 |
-
RIGHT
|
| 914 |
-
RIGHT
|
| 915 |
-
RIGHT
|
| 916 |
-
RIGHT
|
| 917 |
-
RIGHT
|
| 918 |
-
RIGHT
|
| 919 |
-
RIGHT
|
| 920 |
-
RIGHT
|
| 921 |
-
RIGHT
|
| 922 |
-
RIGHT
|
| 923 |
-
RIGHT
|
| 924 |
-
RIGHT
|
| 925 |
-
RIGHT
|
| 926 |
-
RIGHT
|
| 927 |
-
RIGHT
|
| 928 |
-
STRAIGHT
|
| 929 |
-
STRAIGHT
|
| 930 |
-
RIGHT
|
| 931 |
-
RIGHT
|
| 932 |
-
RIGHT
|
| 933 |
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
| 946 |
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RIGHT
|
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RIGHT
|
| 948 |
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RIGHT
|
| 949 |
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RIGHT
|
| 950 |
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
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RIGHT
|
| 957 |
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RIGHT
|
| 958 |
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RIGHT
|
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RIGHT
|
| 960 |
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STRAIGHT
|
| 961 |
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STRAIGHT
|
| 962 |
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STRAIGHT
|
| 963 |
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STRAIGHT
|
| 964 |
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STRAIGHT
|
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RIGHT
|
| 966 |
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STRAIGHT
|
| 967 |
-
STRAIGHT
|
| 968 |
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
| 978 |
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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-
STRAIGHT
|
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-
STRAIGHT
|
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-
STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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STRAIGHT
|
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-
STRAIGHT
|
| 997 |
-
STRAIGHT
|
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-
STRAIGHT
|
| 999 |
-
STRAIGHT
|
| 1000 |
-
STRAIGHT
|
| 1001 |
-
STRAIGHT
|
| 1002 |
-
STRAIGHT
|
| 1003 |
-
STRAIGHT
|
| 1004 |
-
LEFT
|
| 1005 |
-
LEFT
|
| 1006 |
-
LEFT
|
| 1007 |
-
LEFT
|
| 1008 |
-
LEFT
|
| 1009 |
-
STRAIGHT
|
| 1010 |
-
STRAIGHT
|
| 1011 |
-
STRAIGHT
|
| 1012 |
-
STRAIGHT
|
| 1013 |
-
LEFT
|
| 1014 |
-
STRAIGHT
|
| 1015 |
-
STRAIGHT
|
| 1016 |
-
STRAIGHT
|
| 1017 |
-
STRAIGHT
|
| 1018 |
-
STRAIGHT
|
| 1019 |
-
STRAIGHT
|
| 1020 |
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STRAIGHT
|
| 1021 |
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STRAIGHT
|
| 1022 |
-
STRAIGHT
|
| 1023 |
-
STRAIGHT
|
| 1024 |
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STRAIGHT
|
| 1025 |
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STRAIGHT
|
| 1026 |
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STRAIGHT
|
| 1027 |
-
STRAIGHT
|
| 1028 |
-
STRAIGHT
|
| 1029 |
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STRAIGHT
|
| 1030 |
-
STRAIGHT
|
| 1031 |
-
STRAIGHT
|
| 1032 |
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LEFT
|
| 1033 |
-
STRAIGHT
|
| 1034 |
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LEFT
|
| 1035 |
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LEFT
|
| 1036 |
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LEFT
|
| 1037 |
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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-
LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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LEFT
|
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-
LEFT
|
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-
LEFT
|
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-
LEFT
|
| 1057 |
-
LEFT
|
| 1058 |
-
LEFT
|
| 1059 |
-
LEFT
|
| 1060 |
-
LEFT
|
| 1061 |
-
LEFT
|
| 1062 |
-
LEFT
|
| 1063 |
-
LEFT
|
| 1064 |
-
LEFT
|
| 1065 |
-
LEFT
|
| 1066 |
-
LEFT
|
| 1067 |
-
LEFT
|
| 1068 |
-
LEFT
|
| 1069 |
-
LEFT
|
| 1070 |
-
LEFT
|
| 1071 |
-
LEFT
|
| 1072 |
-
LEFT
|
| 1073 |
-
LEFT
|
| 1074 |
-
LEFT
|
| 1075 |
-
LEFT
|
| 1076 |
-
LEFT
|
| 1077 |
-
LEFT
|
| 1078 |
-
LEFT
|
| 1079 |
-
LEFT
|
| 1080 |
-
LEFT
|
| 1081 |
-
LEFT
|
| 1082 |
-
LEFT
|
| 1083 |
-
LEFT
|
| 1084 |
-
LEFT
|
| 1085 |
-
LEFT
|
| 1086 |
-
LEFT
|
| 1087 |
-
LEFT
|
| 1088 |
-
LEFT
|
| 1089 |
-
LEFT
|
| 1090 |
-
LEFT
|
| 1091 |
-
LEFT
|
| 1092 |
-
LEFT
|
| 1093 |
-
LEFT
|
| 1094 |
-
LEFT
|
| 1095 |
-
LEFT
|
| 1096 |
-
LEFT
|
| 1097 |
-
LEFT
|
| 1098 |
-
LEFT
|
| 1099 |
-
LEFT
|
| 1100 |
-
LEFT
|
| 1101 |
-
LEFT
|
| 1102 |
-
LEFT
|
| 1103 |
-
LEFT
|
| 1104 |
-
LEFT
|
| 1105 |
-
LEFT
|
| 1106 |
-
LEFT
|
| 1107 |
-
LEFT
|
| 1108 |
-
LEFT
|
| 1109 |
-
RIGHT
|
| 1110 |
-
RIGHT
|
| 1111 |
-
RIGHT
|
| 1112 |
-
RIGHT
|
| 1113 |
-
RIGHT
|
| 1114 |
-
RIGHT
|
| 1115 |
-
RIGHT
|
| 1116 |
-
RIGHT
|
| 1117 |
-
RIGHT
|
| 1118 |
-
RIGHT
|
| 1119 |
-
RIGHT
|
| 1120 |
-
RIGHT
|
| 1121 |
-
RIGHT
|
| 1122 |
-
RIGHT
|
| 1123 |
-
RIGHT
|
| 1124 |
-
LEFT
|
| 1125 |
-
LEFT
|
| 1126 |
-
LEFT
|
| 1127 |
-
LEFT
|
| 1128 |
-
LEFT
|
| 1129 |
-
LEFT
|
| 1130 |
-
LEFT
|
| 1131 |
-
LEFT
|
| 1132 |
-
LEFT
|
| 1133 |
-
LEFT
|
| 1134 |
-
LEFT
|
| 1135 |
-
LEFT
|
| 1136 |
-
LEFT
|
| 1137 |
-
LEFT
|
| 1138 |
-
LEFT
|
| 1139 |
-
LEFT
|
| 1140 |
-
LEFT
|
| 1141 |
-
LEFT
|
| 1142 |
-
LEFT
|
| 1143 |
-
LEFT
|
| 1144 |
-
LEFT
|
| 1145 |
-
LEFT
|
| 1146 |
-
LEFT
|
| 1147 |
-
LEFT
|
| 1148 |
-
LEFT
|
| 1149 |
-
LEFT
|
| 1150 |
-
LEFT
|
| 1151 |
-
LEFT
|
| 1152 |
-
LEFT
|
| 1153 |
-
LEFT
|
| 1154 |
-
LEFT
|
| 1155 |
-
LEFT
|
| 1156 |
-
LEFT
|
| 1157 |
-
LEFT
|
| 1158 |
-
LEFT
|
| 1159 |
-
LEFT
|
| 1160 |
-
RIGHT
|
| 1161 |
-
RIGHT
|
| 1162 |
-
RIGHT
|
| 1163 |
-
RIGHT
|
| 1164 |
-
RIGHT
|
| 1165 |
-
RIGHT
|
| 1166 |
-
RIGHT
|
| 1167 |
-
RIGHT
|
| 1168 |
-
RIGHT
|
| 1169 |
-
RIGHT
|
| 1170 |
-
RIGHT
|
| 1171 |
-
RIGHT
|
| 1172 |
-
RIGHT
|
| 1173 |
-
RIGHT
|
| 1174 |
-
RIGHT
|
| 1175 |
-
RIGHT
|
| 1176 |
-
RIGHT
|
| 1177 |
-
RIGHT
|
| 1178 |
-
STRAIGHT
|
| 1179 |
-
RIGHT
|
| 1180 |
-
RIGHT
|
| 1181 |
-
RIGHT
|
| 1182 |
-
RIGHT
|
| 1183 |
-
RIGHT
|
| 1184 |
-
RIGHT
|
| 1185 |
-
LEFT
|
| 1186 |
-
LEFT
|
| 1187 |
-
LEFT
|
| 1188 |
-
RIGHT
|
| 1189 |
-
RIGHT
|
| 1190 |
-
LEFT
|
| 1191 |
-
RIGHT
|
| 1192 |
-
RIGHT
|
| 1193 |
-
RIGHT
|
| 1194 |
-
RIGHT
|
| 1195 |
-
RIGHT
|
| 1196 |
-
RIGHT
|
| 1197 |
-
RIGHT
|
| 1198 |
-
RIGHT
|
| 1199 |
-
RIGHT
|
| 1200 |
-
STRAIGHT
|
| 1201 |
-
STRAIGHT
|
| 1202 |
-
STRAIGHT
|
| 1203 |
-
STRAIGHT
|
| 1204 |
-
STRAIGHT
|
| 1205 |
-
STRAIGHT
|
| 1206 |
-
STRAIGHT
|
| 1207 |
-
STRAIGHT
|
| 1208 |
-
STRAIGHT
|
| 1209 |
-
STRAIGHT
|
| 1210 |
-
STRAIGHT
|
| 1211 |
-
LEFT
|
| 1212 |
-
STRAIGHT
|
| 1213 |
-
STRAIGHT
|
| 1214 |
-
STRAIGHT
|
| 1215 |
-
STRAIGHT
|
| 1216 |
-
RIGHT
|
| 1217 |
-
STRAIGHT
|
| 1218 |
-
RIGHT
|
| 1219 |
-
RIGHT
|
| 1220 |
-
STRAIGHT
|
| 1221 |
-
STRAIGHT
|
| 1222 |
-
STRAIGHT
|
| 1223 |
-
STRAIGHT
|
| 1224 |
-
STRAIGHT
|
| 1225 |
-
RIGHT
|
| 1226 |
-
STRAIGHT
|
| 1227 |
-
STRAIGHT
|
| 1228 |
-
STRAIGHT
|
| 1229 |
-
STRAIGHT
|
| 1230 |
-
STRAIGHT
|
| 1231 |
-
STRAIGHT
|
| 1232 |
-
STRAIGHT
|
| 1233 |
-
STRAIGHT
|
| 1234 |
-
RIGHT
|
| 1235 |
-
STRAIGHT
|
| 1236 |
-
STRAIGHT
|
| 1237 |
-
STRAIGHT
|
| 1238 |
-
STRAIGHT
|
| 1239 |
-
STRAIGHT
|
| 1240 |
-
STRAIGHT
|
| 1241 |
-
STRAIGHT
|
| 1242 |
-
STRAIGHT
|
| 1243 |
-
STRAIGHT
|
| 1244 |
-
STRAIGHT
|
| 1245 |
-
STRAIGHT
|
| 1246 |
-
STRAIGHT
|
| 1247 |
-
STRAIGHT
|
| 1248 |
-
STRAIGHT
|
| 1249 |
-
STRAIGHT
|
| 1250 |
-
STRAIGHT
|
| 1251 |
-
STRAIGHT
|
| 1252 |
-
STRAIGHT
|
| 1253 |
-
STRAIGHT
|
| 1254 |
-
STRAIGHT
|
| 1255 |
-
STRAIGHT
|
| 1256 |
-
STRAIGHT
|
| 1257 |
-
STRAIGHT
|
| 1258 |
-
STRAIGHT
|
| 1259 |
-
STRAIGHT
|
| 1260 |
-
STRAIGHT
|
| 1261 |
-
STRAIGHT
|
| 1262 |
-
STRAIGHT
|
| 1263 |
-
STRAIGHT
|
| 1264 |
-
STRAIGHT
|
| 1265 |
-
STRAIGHT
|
| 1266 |
-
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|
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STRAIGHT
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
requirements.txt
CHANGED
|
@@ -4,4 +4,5 @@ onnxruntime
|
|
| 4 |
opencv-python
|
| 5 |
serial
|
| 6 |
pandas
|
| 7 |
-
matplotlib
|
|
|
|
|
|
| 4 |
opencv-python
|
| 5 |
serial
|
| 6 |
pandas
|
| 7 |
+
matplotlib
|
| 8 |
+
scipy
|
ultrafast/__pycache__/inference_onnx.cpython-311.pyc
CHANGED
|
Binary files a/ultrafast/__pycache__/inference_onnx.cpython-311.pyc and b/ultrafast/__pycache__/inference_onnx.cpython-311.pyc differ
|
|
|
ultrafast/__pycache__/ultrafastLaneDetector.cpython-311.pyc
CHANGED
|
Binary files a/ultrafast/__pycache__/ultrafastLaneDetector.cpython-311.pyc and b/ultrafast/__pycache__/ultrafastLaneDetector.cpython-311.pyc differ
|
|
|
ultrafast/inference_onnx.py
CHANGED
|
@@ -36,13 +36,10 @@ model_type = ModelType.TUSIMPLE
|
|
| 36 |
dirname = os.path.dirname(__file__)
|
| 37 |
|
| 38 |
model_path = os.path.join(dirname, "./models/tusimple_18_V1_fp16.onnx")
|
|
|
|
| 39 |
lane_detector = UltrafastLaneDetector(model_path, model_type)
|
| 40 |
|
| 41 |
|
| 42 |
-
def inference_detect_lane(image):
|
| 43 |
-
return lane_detector.detect_lanes(image)
|
| 44 |
-
|
| 45 |
-
|
| 46 |
tusimple_row_anchor = [
|
| 47 |
64,
|
| 48 |
68,
|
|
|
|
| 36 |
dirname = os.path.dirname(__file__)
|
| 37 |
|
| 38 |
model_path = os.path.join(dirname, "./models/tusimple_18_V1_fp16.onnx")
|
| 39 |
+
print("model_path", model_path)
|
| 40 |
lane_detector = UltrafastLaneDetector(model_path, model_type)
|
| 41 |
|
| 42 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
tusimple_row_anchor = [
|
| 44 |
64,
|
| 45 |
68,
|
ultrafast/ultrafastLaneDetector.py
CHANGED
|
@@ -130,8 +130,9 @@ class UltrafastLaneDetector:
|
|
| 130 |
self.initialize_model(model_path)
|
| 131 |
|
| 132 |
def initialize_model(self, model_path):
|
|
|
|
| 133 |
|
| 134 |
-
self.session = onnxruntime.InferenceSession(model_path)
|
| 135 |
|
| 136 |
# Get model info
|
| 137 |
self.getModel_input_details()
|
|
|
|
| 130 |
self.initialize_model(model_path)
|
| 131 |
|
| 132 |
def initialize_model(self, model_path):
|
| 133 |
+
providers = ["CPUExecutionProvider"]
|
| 134 |
|
| 135 |
+
self.session = onnxruntime.InferenceSession(model_path, providers=providers)
|
| 136 |
|
| 137 |
# Get model info
|
| 138 |
self.getModel_input_details()
|