thtrieu/darkflow

training my own data set with ']' output predict

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#300 opened on Jun 23, 2017

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bughelp wanted

Description

hi I tried to train my own data set using cfg/tiny-yolo-voc.cfg tiny-yolo-voc.weight. I have changed the class to 2, lable.txt, and the last conv filter to 35(5*(2+5)) the training script is as follow: ./flow --model cfg/tiny-yolo-voc-1.cfg --load bin/tiny-yolo-voc.weights --train --annotation train/Annotations --dataset train/JPEGImages --gpu 1.0 --batch 30 --epoch 100 after trained the loss is under 2.0 the testing script is: /flow --imgdir test_dir/ --model cfg/tiny-yolo-voc.cfg --load -1 --json the result is ']' why is it ? the sample under test data is just a training data.

Contributor guide

Tech stack
pythontensorflow
Domain
machine learning
Issue type
bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
unclear
Prerequisites
Basic knowledge of YOLOFamiliarity with darkflowPython and TensorFlow setup
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30
Research direction
Investigate why the testing output is ']'. This likely indicates a parsing error or empty predictions. Check the JSON output format in darkflow's predict function (e.g., in 'darkflow/net/help.py' and 'darkflow/cli.py'). Verify that the cfg file modifications (changing classes and filters) are correct and consistent between training and testing. Test with a simple image to confirm model loading and forward pass. Look at the training script to ensure the model is properly saved and loaded.