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python tools/converter.py convert --config=../mace-models/yolo-v3/yolo-v3.yml
....
Traceback (most recent call last):
File "/miniconda3/envs/mace/lib/python3.7/site-packages/tensorflow/python/framework/importer.py", line 426, in import_graph_def
graph._c_graph, serialized, options) # pylint: disable=protected-access
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimension 1 in both shapes must be equal, but are 26 and 20. Shapes are [1,26,26] and [1,20,14]. for 'concatenate_1/concat' (op: 'ConcatV2') with input shapes: [1,26,26,256], [1,20,14,512], [] and with computed input tensors: input[2] = <3>.
How to solve these errors? Thank you.
The text was updated successfully, but these errors were encountered:
Hi, I want to change the input size of yolov3 to 320x224 (h,w). After modified the yolo-v3.yml to:
converting the model will raise these errors:
How to solve these errors? Thank you.
The text was updated successfully, but these errors were encountered: