Open yzhangbx120 opened 5 years ago
Hi, I am interested as well, I think there is a format problem with my cfg file. I have the following error when trying to run "yolov3_to_onnx", I tried adding spaces between "conv" and "yolo" layers, but it did not work:
Traceback (most recent call last):
File "yolov3_to_onnx.py", line 749, in
Hi, I am interested as well, I think there is a format problem with my cfg file. I have the following error when trying to run "yolov3_to_onnx", I tried adding spaces between "conv" and "yolo" layers, but it did not work:
Traceback (most recent call last): File "yolov3_to_onnx.py", line 749, in main() File "yolov3_to_onnx.py", line 715, in main layer_configs = parser.parse_cfg_file(cfg_file_path) File "yolov3_to_onnx.py", line 92, in parse_cfg_file layer_dict, layer_name, remainder = self._next_layer(remainder) File "yolov3_to_onnx.py", line 133, in _next_layer layer_param_block, remainder = remainder.split('\n\n', 1) ValueError: need more than 1 value to unpack
I met the same problem:(
Hi, I am interested as well, I think there is a format problem with my cfg file. I have the following error when trying to run "yolov3_to_onnx", I tried adding spaces between "conv" and "yolo" layers, but it did not work:
Traceback (most recent call last): File "yolov3_to_onnx.py", line 749, in main() File "yolov3_to_onnx.py", line 715, in main layer_configs = parser.parse_cfg_file(cfg_file_path) File "yolov3_to_onnx.py", line 92, in parse_cfg_file layer_dict, layer_name, remainder = self._next_layer(remainder) File "yolov3_to_onnx.py", line 133, in _next_layer layer_param_block, remainder = remainder.split('\n\n', 1) ValueError: need more than 1 value to unpack
Adding a blank line could solve this problem. But when I converting the onnx model to trt model, I met a new problem: [TENSOR RT]ERROR: (Unnamed Layer* 38) [Concatenation]: all concat input tensors must have the same dimensions except on the concatenation axis.
Adding a blank line could solve this problem. But when I converting the onnx model to trt model, I met a new problem: [TENSOR RT]ERROR: (Unnamed Layer* 38) [Concatenation]: all concat input tensors must have the same dimensions except on the concatenation axis.
How you solved this problem?
Hi, I am interested as well, I think there is a format problem with my cfg file. I have the following error when trying to run "yolov3_to_onnx", I tried adding spaces between "conv" and "yolo" layers, but it did not work:
Traceback (most recent call last): File "yolov3_to_onnx.py", line 749, in main() File "yolov3_to_onnx.py", line 715, in main layer_configs = parser.parse_cfg_file(cfg_file_path) File "yolov3_to_onnx.py", line 92, in parse_cfg_file layer_dict, layer_name, remainder = self._next_layer(remainder) File "yolov3_to_onnx.py", line 133, in _next_layer layer_param_block, remainder = remainder.split('\n\n', 1) ValueError: need more than 1 value to unpack
Add a blank line o end of .cfg
files . If you have any problem with bytes
and str
types, convert cfg
address to bytes
for resolving it:
instead of :
layer_configs = parser.parse_cfg_file('Config.cfg')
use:
layer_configs = parser.parse_cfg_file(bytes("Config.cfg",encoding = 'utf-8'))#"./yolov3.cfg"
Also add line
remainder = bytes.decode(remainder)
after
remainder = cfg_file.read()
Be sure that your .cfg file ends with 2 new lines. Thats how i solved my issue.
Hi, I found your github project is very helpful for me. I am also doing research on yolov3 with tensorRT. When I use your ped.onnx in the tensorRT code, it works well. However, when I try to convert my own yolov3-tiny model to onnx and then use it in tensorRT, the result is wrong and I think it may be caused by the maxpool layer. Could you share you darknet cfg file so that I can check whether there is something wrong with my cfg file. Thank you!