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README.md

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@@ -89,9 +89,10 @@ NanoOWL runs real-time on Jetson Orin Nano.
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5. (optional) Install NanoSAM (for the instance segmentation example)
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6. Install the Clip Package
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```conda install --yes -c pytorch pytorch=1.7.1 torchvision cudatoolkit=11.0
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pip install ftfy regex tqdm
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pip install git+https://github.com/openai/CLIP.git
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```bash
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conda install --yes -c pytorch pytorch=1.7.1 torchvision cudatoolkit=11.0
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pip install ftfy regex tqdm
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pip install git+https://github.com/openai/CLIP.git
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```
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2. Install the NanoOWL package.
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cd examples
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python3 owl_predict.py \
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--prompt="[an owl, a glove]" \
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--threshold=0.1 \
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--threshold="0.1. 0.1" \
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--image_encoder_engine=../data/owl_image_encoder_patch32.engine
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```
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@@ -144,7 +145,7 @@ Then run the example
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```bash
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python3 owl_predict.py \
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--prompt="[an owl, a glove]" \
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--threshold=0.1 \
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--threshold="0.1, 0.1" \
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--image_encoder_engine=../data/owl_image_encoder_patch32.engine
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```
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