ubo_night-test vedio

examples/python/hatdet/test_darknet.py

@@ -4,14 +4,34 @@ import darknet as interface
 import argparse
 import sys
 import time
-import datetime
 
 
+
+'''
+#精确模型
 configPath='hat-obj-test.cfg'
 weightPath='hat-obj_last.weights'
 metaPath='hat.names'
 thresh =0.9
 
+
+#tiny模型
+configPath='hat-obj-tiny-obj-test.cfg'
+weightPath='hat-obj-tiny.weights'
+metaPath='hat.names'
+thresh =0.6 #识别精度
+
+'''
+
+#tiny模型
+configPath='hat-fastest-xl-hat.cfg'
+weightPath='hat-fastest-xl_final.weights'
+metaPath='hat.names'
+thresh =0.9 #识别精度
+
+
+
+
 yolo=interface.DarknetYolo(configPath, weightPath, metaPath, thresh)
 
 parser = argparse.ArgumentParser(description='Object Detection using YOLO in OPENCV')