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Use 'shape' instead of 'dims' #113

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Merged
vdel merged 1 commit into from
Aug 29, 2024
Merged

Use 'shape' instead of 'dims' #113

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2 changes: 1 addition & 1 deletion deepomatic/api/resources/network.py
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Original file line number Diff line number Diff line change
Expand Up @@ -78,5 +78,5 @@ def create(self, *args, **kwargs):
def _convert_result_to_numpy(result):
new_result = {}
for tensor in result['tensors']:
new_result[tensor['name']] = np.array(tensor['data']).reshape(tensor['dims'])
new_result[tensor['name']] = np.array(tensor['data']).reshape(tensor['shape'])
return new_result
3 changes: 2 additions & 1 deletion demo.py
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Expand Up @@ -374,7 +374,8 @@ def pretty_print_json(data):

def display_inference_tensor(result):
for tensor_name, numpy_array in result.items():
print_comment("tensor '{name}', dimensions: {dims}".format(name=tensor_name, dims='x'.join(map(str, numpy_array.shape))))
shape_str = 'x'.join(map(str, numpy_array.shape))
print_comment(f"tensor '{tensor_name}', shape: {shape_str}")


if __name__ == '__main__':
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