Real-time-Auto-License-Plate-Recognition-with-Jetson-Nano
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Published
20 hours ago •
winter2897
winter2897
Is that possible Is that possible input only 1 image not video stream, and see the pop up detection results??
How should I do to input only 1 image instead of video stream, and see the pop up detection results? I already tried
python3 detectnet-camera.py --model=./networks/az_plate/az_plate_ssdmobilenetv1.onnx --class_labels=./networks/az_plate/labels.txt --input_blob=input_0 --output_cvg=scores --output_bbox=boxes /data/images out.jpg
got the message
[image] loaded '/home/edward/Desktop/yolov4-custom-functions-master/data/images/car2.jpg' (1400x950, 3 channels)
detected 0 objects in image
[OpenGL] glDisplay -- set the window size to 1400x950
[OpenGL] creating 1400x950 texture (GL_RGB8 format, 3990000 bytes)
[cuda] registered openGL texture for interop access (1400x950, GL_RGB8, 3990000 bytes)
[image] saved 'out.jpg' (1400x950, 3 channels)
[TRT] ------------------------------------------------
[TRT] Timing Report ./networks/az_plate/az_plate_ssdmobilenetv1.onnx
[TRT] ------------------------------------------------
[TRT] Pre-Process CPU 0.07171ms CUDA 0.22339ms
[TRT] Network CPU 25.94165ms CUDA 25.20064ms
[TRT] Post-Process CPU 0.14458ms CUDA 0.14438ms
[TRT] Total CPU 26.15794ms CUDA 25.56842ms
[TRT] ------------------------------------------------
[TRT] note -- when processing a single image, run 'sudo jetson_clocks' before
to disable DVFS for more accurate profiling/timing measurements
and there is a result image out.jpg without any bounding boxes on it. any idea on this?
