The result of training custom dataset

[Maeve-D]

I made custom dataset(5000 images ,target is airplane) and train the model followed the steps you mentioned in #55
The use:python:python train.py mot --exp_id all_dla34 --gpus 0 -batch_size 2 --load_model '../models/ctdet_coco_dla_2x.pth'
Here is the training dataset format:
00001.txt
0 1 0.076172 0.596875 0.150781 0.068750
0 2 0.601562 0.620833 0.095312 0.068750
0 3 0.967578 0.559896 0.064844 0.040625
0 4 0.651172 0.933854 0.253906 0.130208

The training process and loss value seem normal, here is the log.txt:

However, after training these I use: python demo.py mot --load_model ../exp/mot/all_dla34/model_last.pth --conf_thres 0.4 --input-video ../videos/myvideo.mp4 --output-root ../results/

But no was no any tracking in result videos.
I don't know which step is wrong. Can you give me some advise?
@ifzhang

[ifzhang]

May I ask what object you want to track? It seems the width is larger than the height. We filter the objects (only for person) when w is 1.6 times larger than h in track.py. You can check whether you have detection results. Also, '--conf_thres' can be adapted by your dataset.

[Maeve-D]

@ifzhang
I want to track airplane. I found some problem in the training dataset. Here I have two questions:
1.Do I need to label objects that are not moving but in the images？
2.My training images are obtained from the screenshot in the videos, and how many milliseconds is it appropriate to take a screenshot?
Thank you for your kindly help!: )

[NaifahNurya]

@Maeve-D Why don't you extract frame directly from the video instead of taking screenshots?

[geyu1998]

i use custom dataset to train,but there is an error: IsADirectoryError: [Errno 21] Is a directory: '/FairMOT-master/datas/'
can you solve this problem ,i put the custom dataset in datas file