Load ./libmmdeploy_tensorrt_ops.so for TensorRT EP if available
Browse files- rtmo_gpu.py +2 -1
rtmo_gpu.py
CHANGED
@@ -3,6 +3,7 @@ import numpy as np
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from typing import List, Tuple
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import onnxruntime as ort
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import cv2
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# dictionary from https://github.com/Tau-J/rtmlib/blob/4b29101d54b611048ef165277cebfffff3030074/rtmlib/visualization/skeleton/coco17.py
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coco17 = dict(name='coco17',
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@@ -486,4 +487,4 @@ class RTMO_GPU_Batch(RTMO_GPU):
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batch_img, ratios = self.preprocess_batch(images)
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outputs = self.inference(batch_img)
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keypoints, scores = self.postprocess_batch(outputs, ratios)
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return keypoints, scores
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from typing import List, Tuple
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import onnxruntime as ort
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import cv2
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os.environ['ORT_TENSORRT_EXTRA_PLUGIN_LIB_PATHS']='libmmdeploy_tensorrt_ops.so'
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# dictionary from https://github.com/Tau-J/rtmlib/blob/4b29101d54b611048ef165277cebfffff3030074/rtmlib/visualization/skeleton/coco17.py
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coco17 = dict(name='coco17',
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batch_img, ratios = self.preprocess_batch(images)
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outputs = self.inference(batch_img)
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keypoints, scores = self.postprocess_batch(outputs, ratios)
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return keypoints, scores
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