Loading weights from ...Couldn't open file:

[ChangSeobYun]

When you run worker, "Loading weights from ... Coouldn't open file:" error occurs.

[imsoo]

@ChangSeobYun Hi,

1. Which do you want to run, Yolo or Openpose?

2. Did you download weight file and put it in "weight" directory?

3. Please write your full command , it should be like

./worker "YOUR CFG PATH" "WEIGHT PATH" "NAMES PATH" -gpu 0 -thresh 0.2
./worker cfg/yolov3.cfg weights/yolov3.weights names/cooc.names -gpu 0 -thresh 0.2

[ChangSeobYun]

I solved. thanks

[ChangSeobYun]

I have another question.
what is ./sink and ./ventilator?

[imsoo]

@ChangSeobYun

• Ventilator : A ventilator that distribute tasks that can be done in parallel
• Worker : A set of workers that process tasks
• Sink : A sink that collects results back from the worker processes

For example,

1. client sends the webcam video stream to the server(Ventilator).

Client -- Frame4 -- Frame 3 -- Frame 2 -- Frame 1 --> Server (Ventilator)

2. Ventilator receive frame and distribute to Worker. (In this case, Assume that three Worker processes are running)

Ventilator -- Frame 1 --> Worker 1   
Ventilator -- Frame 2 --> Worker 2
Ventilator -- Frame 3 --> Worker 3
Ventilator -- Frame 4 --> Worker 1 
(Repeat)

3. Workers process frame (neural network computation) and send result to Sink. (Note that worker 3 could process faster than worker 2)

Worker 1 -- Processed Frame 1 --> Sink   
Worker 3 -- Processed Frame 3 --> Sink   
Worker 2 -- Processed Frame 2 --> Sink   

4. Sink collects results back from the worker and send result to client in sequence

Workers -- Frame 2 -- Frame 3 -- Frame 1 --> Sink -- Frame 3 -- Frame 2 -- Frame 1 --> Client

Why use this?

Suppose the time to process one frame is 1 second. If there are five frame and one worker process, it takes 5 seconds. However, using two workers, it will be halved.

1 worker: total elapsed time: 5034 msecs.
2 workers: total elapsed time: 2421 msecs.
4 workers: total elapsed time: 1018 msecs.

accompanying document should help:
http://zguide.zeromq.org/page:all#Divide-and-Conquer

[ChangSeobYun]

I don't raw output detection box.
what is problem?

[imsoo]

@ChangSeobYun

1. Check that the Server-Client is working.

Set DEBUG flag in Makefile and rebuild it. and then check standard output.

darknet_server/server/Makefile

Line 1 in 93a32e4

DEBUG = 1

run server (sink, ventilator, one worker process) and then run client
It should be like :

Ventilator | Recv From Client | SEQ :  0 | LEN : 12345
Ventilator | Send To Worker | SEQ :  0 | LEN : 12345
...
Worker | Recv From Ventilator | SEQ :  0 | LEN : 12345
Darknet | Detect | SEQ : 0 | Time : 50ms
Worker | Send To Sink | SEQ :  0 | LEN : 13456
...
Sink | Recv From Worker | SEQ : 0 | LEN : 13456
Sink | Pub To Client | SEQ : 0 | LEN : 13456

2. If networking is fine, then try to change threshold.

./worker cfg/yolov3.cfg weights/yolov3.weights names/cooc.names -gpu 0 -thresh ***0.2***

3. Please write your full command or post any picture. It should be helpful.

[ChangSeobYun]

[ChangSeobYun]

./worker cfg/openpose.cfg weights/openpose.weight -gpu 0 -pose

[imsoo]

I think that Server/Client couldn't connect.

1. where is the server running? Local OR Remote (GCP, AWS ...)

2. check that server address in client command.

For example (Local),

 ./darknet_client -addr 127.0.0.1 -vid test.mp4

3. Please post server process's (Sink, Ventilator, Worker) output.

[ChangSeobYun]

I solved. thanks.
An error occurred while executing the action.py
ImportError: cannot import name 'set_session' from 'tensorflow.keras.backend'

[imsoo]

@ChangSeobYun

I think that different keras version is a cause of this error.
Which version of tensorflow and keras do you have?
if you let me know, i will try it.

[ChangSeobYun]

tensorflow==2.1.0 and Keras==2.3.1

[imsoo]

@ChangSeobYun

Note : This is a temporary solution. it may not work correctly in your environment. So please let me know the result.

Try to change 7-12 Line in action.py and retry it.

From

from tensorflow.keras.backend import set_session
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)
set_session(sess)
sess.run(tf.global_variables_initializer())

To

## TF 2.0
from tensorflow.compat.v1.keras.backend import set_session
tf.compat.v1.disable_eager_execution()
config = tf.compat.v1.ConfigProto()  
config.gpu_options.allow_growth = True
sess = tf.compat.v1.Session(config=config)
set_session(sess)
sess.run(tf.compat.v1.global_variables_initializer())

[ChangSeobYun]

i just use one computer.
then not working

[ChangSeobYun]