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In Model.export(), remove the shape arg and the requirement for the shape to be divisible by 14. #400

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In Model.export(), remove the shape arg and the requirement for the shape to be divisible by 14. #400

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8 changes: 2 additions & 6 deletions rfdetr/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -516,7 +516,7 @@ def lr_lambda(current_step: int):
for callback in callbacks["on_train_end"]:
callback()

def export(self, output_dir="output", infer_dir=None, simplify=False, backbone_only=False, opset_version=17, verbose=True, force=False, shape=None, batch_size=1, **kwargs):
def export(self, output_dir="output", infer_dir=None, simplify=False, backbone_only=False, opset_version=17, verbose=True, force=False, batch_size=1, **kwargs):
"""Export the trained model to ONNX format"""
print(f"Exporting model to ONNX format")
try:
Expand All @@ -532,11 +532,7 @@ def export(self, output_dir="output", infer_dir=None, simplify=False, backbone_

os.makedirs(output_dir, exist_ok=True)
output_dir = Path(output_dir)
if shape is None:
shape = (self.resolution, self.resolution)
else:
if shape[0] % 14 != 0 or shape[1] % 14 != 0:
raise ValueError("Shape must be divisible by 14")
shape = (self.resolution, self.resolution)

input_tensors = make_infer_image(infer_dir, shape, batch_size, device).to(device)
input_names = ['input']
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