Update ReadMe.txt

7.Darknet/ReadMe.txt

@@ -1,31 +1,25 @@
-Label  https://github.com/tzutalin/labelImg
-
+1. Label
+https://github.com/tzutalin/labelImg
 pyrcc5 -o libs/resources.py resources.qrc
 python labelImg.py
 
 
-./darknet detector demo cfg/obj.data cfg/yolov4-tiny-custom.cfg yolov4-tiny-custom_best.weights "nvarguscamerasrc ! video/x-raw(memory:NVMM), width=416, height=416, format=(string)NV12, framerate=(fraction)30/1 ! nvvidconv flip-method=2 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink"
-
+2. Run real-time
+./darknet detector demo cfg/obj.data cfg/yolov4-tiny-custom.cfg yolov4-tiny-custom_best.weights test.mp4 -benchmark
 
-2. Runtime -GPU
+./darknet detector demo cfg/obj.data cfg/yolov4-tiny-custom.cfg yolov4-tiny-custom_best.weights "nvarguscamerasrc ! video/x-raw(memory:NVMM), width=416, height=416, format=(string)NV12, framerate=(fraction)30/1 ! nvvidconv flip-method=2 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink"
 
 2. 1. move to folder
 %cd /content/drive/MyDrive/yolov4/darknet
-
 2. 2.Get access for folder
 !chmod +x ./darknet
-
 2. 3. Start train
 ! ./darknet detector train data/obj.data yolov4-tiny-custom.cfg yolov4-tiny.conv.29 -dont_show -map
 
 3. Yolo-tiny costum.cng
-здемы мы в двух метсах изменнили класс с 80 до 1
-и изменели количетсво слоев у послденего выхода, сделали 
+change class from 80 to 1
 
-4. start video
 
 
-./darknet detector demo cfg/obj.data cfg/yolov4-tiny-custom.cfg yolov4-tiny-custom_best.weights test.mp4 -benchmark
-