Fine tuning error about darkflow

[thtrieu]

1. The program understands that you want to work with yolov1-2c.
2. The program sees that you want to load this config from weight yolo.weights
3. Since the name yolo and yolov1-2c is different, the program assumes that you are doing a partial load from a weight file that has a different config. It assumes the config for yolo.weights is yolo.cfg, and indeed found one in ./cfg/
4. The program use ./cfg/yolo.cfg to load yolo.weights and failed since yolo.cfg indicates it expect 269862452 bytes, but found a total of 789312988 bytes.

Solution: Change your weight name to yolov1-2c.weights

[thtrieu]

Please update a new code for some critical bug fixes before fine-tuning your yolov1

[thtrieu]

This has to do with the output of last layer.
Please make sure this is true:

output = side * side * (classes + num * 5)

where output found in the last [connected]
and side, classes, num found in [detection]

[thtrieu]

Where did you get yolov1-2c.weights? Clearly the file's size does not match cfg/v1.1/yolov1-2c.cfg as indicated by the assertion error (it is larger than what yolov1-2c.cfg expects). From what I checked 789312988 bytes is the size of yolov1.weights.

[mzahran001]

Thank you for your effort. It worked but I have a new problem.
After running this command

 ./flow --model cfg/v1.1/yolov1-2c.cfg --load bin/yolov1-2c.weights

It produce this error

Traceback (most recent call last):
  File "./flow", line 60, in <module>
    tfnet.predict()
  File "/home/moh/Documents/darkflow/net/flow.py", line 103, in predict
    os.path.join(inp_path, all_inp[i]))
  File "/home/moh/Documents/darkflow/net/yolo/test.py", line 71, in postprocess
    cords = cords.reshape([SS, B, 4])
ValueError: total size of new array must be unchanged

[mzahran001]

It worked .. but produces new error
First ..the equation :

output = side * side * (classes + num * 5)
output = 7*7*(2+3*5)= 833

when I use this command it works fine:

./flow --model cfg/v1.1/yolov1-2c.cfg

but when using this command

 ./flow --model cfg/v1.1/yolov1-2c.cfg --load bin/yolov1-2c.weights

It produce this error :

 ./flow --model cfg/v1.1/yolov1-2c.cfg --load bin/yolov1-2c.weights
/home/moh/Documents/darkflow/dark/darknet.py:54: UserWarning: ./cfg/yolov1-2c.cfg not found, use cfg/v1.1/yolov1-2c.cfg instead
  cfg_path, FLAGS.model))
Parsing cfg/v1.1/yolov1-2c.cfg
Loading bin/yolov1-2c.weights ...
Traceback (most recent call last):
  File "./flow", line 42, in <module>
    tfnet = TFNet(FLAGS)
  File "/home/moh/Documents/darkflow/net/build.py", line 34, in __init__
    darknet = Darknet(FLAGS)
  File "/home/moh/Documents/darkflow/dark/darknet.py", line 27, in __init__
    self.load_weights()
  File "/home/moh/Documents/darkflow/dark/darknet.py", line 82, in load_weights
    wgts_loader = loader.create_loader(*args)
  File "/home/moh/Documents/darkflow/utils/loader.py", line 104, in create_loader
    return load_type(path, cfg)
  File "/home/moh/Documents/darkflow/utils/loader.py", line 18, in __init__
    self.load(*args)
  File "/home/moh/Documents/darkflow/utils/loader.py", line 76, in load
    walker.offset, walker.size)
AssertionError: expect 745054228 bytes, found 789312988

[mzahran001]

yolov1-2c.weights it is the same as yolov1.weights .
I only changed the names because of the previous problem.
yolov1-2c.weights= 789,312,988 bytes
can you give me a link for your yolov1.weights ?
This is my yolov1-2c.cfg file:
https://drive.google.com/file/d/0B95Sp237mrsTSGp6Q2V4d2pXQkU/view?usp=sharing

[thtrieu]

It is not supposed to work like that.

What you have here is yolov1-2c.cfg and yolov1.weights
Then the only possible use case is that you want to partially load yolov1-2c.cfg from yolov1.weights. To do that:

./flow --model cfg/v1.1/yolov1-2c.cfg --load bin/v1.1/yolov1.weights --config cfg/v1.1/

[mzahran001]

Great ! .. It worked.
but when I start training I used this command :

./flow --train --model cfg/v1.1/yolov1-2c.cfg --load bin/yolov1.weights --config cfg/v1.1/ --annotation labels/ --dataset JPEGImages/

It produces this error :

Running entirely on CPU
cfg/v1.1/yolov1-2c.cfg loss hyper-parameters:
	side    = 7
	box     = 3
	classes = 2
	scales  = [1.0, 1.0, 0.5, 5.0]
Building cfg/v1.1/yolov1-2c.cfg loss
Building cfg/v1.1/yolov1-2c.cfg train op
Finished in 286.667635202s

Enter training ...
Traceback (most recent call last):
  File "./flow", line 53, in <module>
    print('Enter training ...'); tfnet.train()
  File "/home/moh/Documents/darkflow/net/flow.py", line 37, in train
    for i, (x_batch, datum) in enumerate(batches):
  File "/home/moh/Documents/darkflow/net/yolo/data.py", line 130, in shuffle
    data = self.parse()
  File "/home/moh/Documents/darkflow/net/yolo/data.py", line 29, in parse
    return pickle.load(f, encoding = 'latin1')[0]
TypeError: load() got an unexpected keyword argument 'encoding'

[thtrieu]

Are you using Python3?

[mzahran001]

yes.
I am working on Ubuntu that has python 3 per-installed.

[thtrieu]

encoding is a valid argument for load() in python3. I suggest printing print(sys.version) and make sure the running python is python3.

BTW, please pull new commit, some bugs are fixed.