1、 In this version

we found that the error of Val = 0 occurred in the code during our training process, which made it impossible to train.

issue: The error code fragment in the train_Mobilenet.py script is as follows：

with open(train_path) as t_f:
    	t_lines = t_f.readlines()
	np.random.seed(10101)
np.random.shuffle(t_lines)
	np.random.seed(None)
	v_lines = t_lines[700:]
	t_lines = t_lines[:700]
	num_train = len(t_lines)

Exchange: We modified the code to be trained as follows：

 with open(train_path) as t_f:
   	 	t_lines = t_f.readlines()
     random_stat = 123
     np.random.seed(random_stat)
   	 t_lines, v_lines = train_test_split(t_lines, 
 				     test_size=0.2,
				     random_state=random_stat)
     num_train = len(t_lines)

2、Practical steps of using transfer learning training model:

DataSet VOC2007

A) Put all the label XML of training data in Annotations;
B) Put all the labeled training pictures in JPEG Images;

3、creat_list.py

C) Use the creat_list.py script under VOC2007 to generate four new documents in Main under ImageSets;
train.txt
test.txt
val.txt

4、voc_annotation.py

D) Write the class parameters in the sixth line of the voc_annotation.py script under the root directory as their own class parameters in ["aircraft"];
E) Run the voc_annotation.py script code to generate three files in the root directory: 
2007_test; 
2007_train;
2007_val;
F) Modify the class label in voc_classes under model_data directory, where the order must always be and must be the same as that in classes, including the space placeholders between some label words.

5、kmeans.py

G) Run the kmeans script to generate new yolo_anchors and copy them to the model_data directory to overwrite the previous yolo_anchors;

6、yolov3.cfg

H) Modify yolov3.cfg, which is as common as other modifications.

7、training

I) Use the train_Mobilnet.py code to modify the path of its relevant parameters. Generally, at 21-24, 37, 68, 74, 75, 86, 92, 93 lines of code, the script model can be trained to execute.

8、test

python test.py
J) After the training, test.py is used to test the model and get the result.

9、Environment

cuda 9/10
Python 3.6.5
Keras 2.1.5
tensorflow 1.6.0

9、Citing

《YOLOv3-Mobilenet-update》 By Fangyu Zhou & Jungang An

10、Realtek

https://github.com/Eric3911/yolov3_darknet
https://github.com/Eric3911/yolov3_keras
https://github.com/Eric3911/YOLOv3-Mobilenet
https://github.com/dog-qiuqiu/Yolo-Fastest
https://github.com/dog-qiuqiu/MobileNet-Yolo