OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
An error occurred while running mmtracking on the Windows system, and the configuration file is using qdtrack Faster rcnn R101 Fpn 24e_ Lvis.py, training was conducted on the lvis dataset, with the test set being TAO validation. However, an error occurred while running python tools/test. py: [] 40/36375, 3.7 task/s, delayed: 11s, ETA: 9843sTraceback (most recent call last):
File "E: ComputerVision 8mmtracking mmtracking master tools test. py", line 236, in
Main()
File "E:\ComputerVision\mmtracking-master\tools\test. py", line 186, in main
Outputs=single GPU Test(
File "E:\ComputerVision\8mmtracking\mmtracking\master\mmtrack\apis\test. py", line 84, in single GPU Test
Prev Img Prefix Img Name=prev Img Meta[
ValueError: not enough values to unpack (expected 2, got 1).
This error appears in the 40th image. How can I resolve it?
An error occurred while running mmtracking on the Windows system, and the configuration file is using qdtrack Faster rcnn R101 Fpn 24e_ Lvis.py, training was conducted on the lvis dataset, with the test set being TAO validation. However, an error occurred while running python tools/test. py: [] 40/36375, 3.7 task/s, delayed: 11s, ETA: 9843sTraceback (most recent call last):
File "E: ComputerVision 8mmtracking mmtracking master tools test. py", line 236, in
Main()
File "E:\ComputerVision\mmtracking-master\tools\test. py", line 186, in main
Outputs=single GPU Test(
File "E:\ComputerVision\8mmtracking\mmtracking\master\mmtrack\apis\test. py", line 84, in single GPU Test
Prev Img Prefix Img Name=prev Img Meta[
ValueError: not enough values to unpack (expected 2, got 1).
This error appears in the 40th image. How can I resolve it?