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TorchScript single-output fix (#7261)
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18
export.py
18
export.py
@ -73,12 +73,18 @@ from utils.torch_utils import select_device
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def export_formats():
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# YOLOv5 export formats
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x = [['PyTorch', '-', '.pt', True], ['TorchScript', 'torchscript', '.torchscript', True],
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['ONNX', 'onnx', '.onnx', True], ['OpenVINO', 'openvino', '_openvino_model', False],
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['TensorRT', 'engine', '.engine', True], ['CoreML', 'coreml', '.mlmodel', False],
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['TensorFlow SavedModel', 'saved_model', '_saved_model', True], ['TensorFlow GraphDef', 'pb', '.pb', True],
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['TensorFlow Lite', 'tflite', '.tflite', False], ['TensorFlow Edge TPU', 'edgetpu', '_edgetpu.tflite', False],
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['TensorFlow.js', 'tfjs', '_web_model', False]]
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x = [
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['PyTorch', '-', '.pt', True],
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['TorchScript', 'torchscript', '.torchscript', True],
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['ONNX', 'onnx', '.onnx', True],
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['OpenVINO', 'openvino', '_openvino_model', False],
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['TensorRT', 'engine', '.engine', True],
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['CoreML', 'coreml', '.mlmodel', False],
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['TensorFlow SavedModel', 'saved_model', '_saved_model', True],
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['TensorFlow GraphDef', 'pb', '.pb', True],
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['TensorFlow Lite', 'tflite', '.tflite', False],
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['TensorFlow Edge TPU', 'edgetpu', '_edgetpu.tflite', False],
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['TensorFlow.js', 'tfjs', '_web_model', False],]
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return pd.DataFrame(x, columns=['Format', 'Argument', 'Suffix', 'GPU'])
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@ -406,9 +406,10 @@ class DetectMultiBackend(nn.Module):
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def forward(self, im, augment=False, visualize=False, val=False):
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# YOLOv5 MultiBackend inference
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b, ch, h, w = im.shape # batch, channel, height, width
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if self.pt or self.jit: # PyTorch
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y = self.model(im) if self.jit else self.model(im, augment=augment, visualize=visualize)
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return y if val else y[0]
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if self.pt: # PyTorch
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y = self.model(im, augment=augment, visualize=visualize)[0]
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elif self.jit: # TorchScript
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y = self.model(im)[0]
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elif self.dnn: # ONNX OpenCV DNN
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im = im.cpu().numpy() # torch to numpy
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self.net.setInput(im)
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