Open wnalsqja1 opened 3 years ago
Dear @wnalsqja1 Thank you for using my repository!
I haven't used yolov4-tiny.weight
in this environment. So, I can't judge whether yolov4-tiny
is usable or not.
However, I am interested in it, so I will try it in my environment:fire:
Please give me some time.
Dear @wnalsqja1 I’m sorry for the late reply.
I was able to run yolov4-tiny
in my environment!! The procedure is shown below.
# Download cfg file
yolov4-for-darknet_ros/darknet_ros/darknet_ros/yolo_network_config/cfg$ wget https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4-tiny.cfg
yolov4-for-darknet_ros/darknet_ros/darknet_ros/yolo_network_config/weights$ wget https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.weights
<br>
2. Copy the yaml file for yolov4-tiny.
```bash
yolov4-for-darknet_ros/darknet_ros/darknet_ros/config$ cp yolov4.yaml yolov4-tiny.yaml
# Before
config_file:
name: yolov3.cfg
weight_file:
name: yolov3.weights
config_file: name: yolov4-tiny.cfg weight_file: name: yolov4-tiny.weights
<br>
4. Copy the launch file.
```bash
yolov4-for-darknet_ros/darknet_ros/darknet_ros/launch$ cp yolo_v3.launch yolov4-tiny.launch
# Before
<arg name="network_param_file" default="$(find darknet_ros)/config/yolov3.yaml"/>
<br>
When I tried to run `roslaunch yolov4-for-darknet_ros yolov4-tiny.launch` here, I got the following error and could not run it.
```bash
CUDA Error: out of memory
CUDA Error: out of memory: File exists
darknet_ros: /home/<user>/<ws>/src/yolov4-for-darknet_ros/darknet_ros/darknet/src/utils.c:326: error: Assertion `0' failed.
I modified the batch of yolov4-tiny.cfg
downloaded in step 1 from 64 to 1. When I ran it again, it worked.
# Before
batch=64
# After
batch=1
If it doesn't work, please contact us.
Thank you for your kindness. Thanks to you, I was able to run the yolov4-tiny. Thank you very much.
Changing name of the model file is not this same with changing model. yolov4 and yolov4-tiny have different structures. From what I understand you would need to download tiny version of the model's weight file (yolov4-tiny.conv.29 & yolov4-tiny.cfg) from https://github.com/AlexeyAB/darknet?tab=readme-ov-file and retrain your model.
hello i am a colleage student in korea
thank you for your code
i want use yolo v4 -tiny because i want to improve fps So, I downloaded the file 'yolov4-tiny.weights'. I modified the file in the following path. (darknet_ros/darknet_ros/config/yolov4.yaml)
weight_file: name: yolov4.weights -> name: yolov4-tiny.weights
but fps did not change
Is this a wrong approach How can i do that
I'd appreciate it if you could answer.