OCR model example using two stage pipeline #563
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klemen1999
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Dec 18, 2024
| python3 main.py | ||
| # Instalation | ||
| Running this example requires a **Luxonis OAK4 device** connected to your computer. You can find more information about the supported devices and the set up instructions in our [Documentation](https://rvc4.docs.luxonis.com/hardware). | ||
| Moreover, you need to prepare a **Python 3.10** environment with [DepthAI](https://pypi.org/project/depthai/) and [DepthAI Nodes](https://pypi.org/project/depthai-nodes/) packages installed. You can do this by running: |
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Where does py3.10 dependency come from since depthai and depthai-nodes should both work also with 3.8?
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I left it the same as we have in the general README
| replay_node.setLoop(True) | ||
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| video_resize_node = pipeline.create(dai.node.ImageManipV2) | ||
| video_resize_node.initialConfig.setOutputSize(1728, 960) |
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Is the reason we request 3x the input size just for nicer visualization at the end?
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The OCR model accepts 320x48, so cropping from a small 576x320 image we would have to upsample cropped detection by a lot and we would loose accuracy in second stage
gen3/neural-networks/advanced-examples/ocr/ocr/utils/host_process_detections.py
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gen3/neural-networks/advanced-examples/ocr/ocr/utils/host_process_detections.py
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This PR adds an OCR model example using a two stage pipeline.