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README.md
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license: apache-2.0
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---
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```
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from frcnn.frcnn_ids import *
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from frcnn.visualizing_image import SingleImageViz
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from frcnn.processing_image import *
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from frcnn.modeling_frcnn import *
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from frcnn.utils import *
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max_detections = 36
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frcnn_config = json.load(open("frcnn/config.jsonl"))
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frcnn_config = Config(frcnn_config)
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img_url = '
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raw_image = Image.open(img_url).convert('RGB')
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frcnn_output = decode_image(asarray(raw_image), frcnn, image_preprocessor, max_detections=max_detections)
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license: apache-2.0
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---
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```
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from frcnn.visualizing_image import SingleImageViz
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from frcnn.processing_image import Preprocess
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from frcnn.modeling_frcnn import GeneralizedRCNN
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from frcnn.utils import Config
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max_detections = 36
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frcnn_config = json.load(open("frcnn/config.jsonl"))
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frcnn_config = Config(frcnn_config)
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image_preprocessor= Preprocess(frcnn_config).half().cuda()
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box_segmentation_model= GeneralizedRCNN.from_pretrained("unc-nlp/frcnn-vg-finetuned", frcnn_config).half().cuda()
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img_url = 'image.png'
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raw_image = Image.open(img_url).convert('RGB')
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frcnn_output = decode_image(asarray(raw_image), frcnn, image_preprocessor, max_detections=max_detections)
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