Minor fix

build/darknet/x64/darknet.py

@@ -313,7 +313,7 @@ netMain = None
 metaMain = None
 altNames = None
 
-def performDetect(imagePath="data/dog.jpg", thresh= 0.25, configPath = "./cfg/yolov3.cfg", weightPath = "yolov3.weights", metaPath= "./cfg/coco.data", showImage= True, makeImageOnly = False, initOnly= False):
+def performDetect(imagePath="data/dog.jpg", thresh= 0.25, configPath = "./cfg/yolov4.cfg", weightPath = "yolov4.weights", metaPath= "./cfg/coco.data", showImage= True, makeImageOnly = False, initOnly= False):
     """
     Convenience function to handle the detection and returns of objects.
 
@@ -456,7 +456,7 @@ def performDetect(imagePath="data/dog.jpg", thresh= 0.25, configPath = "./cfg/yo
             print("Unable to show image: "+str(e))
     return detections
 
-def performBatchDetect(thresh= 0.25, configPath = "./cfg/yolov3.cfg", weightPath = "yolov3.weights", metaPath= "./cfg/coco.data", hier_thresh=.5, nms=.45, batch_size=3):
+def performBatchDetect(thresh= 0.25, configPath = "./cfg/yolov4.cfg", weightPath = "yolov4.weights", metaPath= "./cfg/coco.data", hier_thresh=.5, nms=.45, batch_size=3):
     import cv2
     import numpy as np
     # NB! Image sizes should be the same

build/darknet/x64/darknet_video.py

@@ -42,8 +42,8 @@ altNames = None
 def YOLO():
 
     global metaMain, netMain, altNames
-    configPath = "./cfg/yolov3.cfg"
-    weightPath = "./yolov3.weights"
+    configPath = "./cfg/yolov4.cfg"
+    weightPath = "./yolov4.weights"
     metaPath = "./cfg/coco.data"
     if not os.path.exists(configPath):
         raise ValueError("Invalid config path `" +

darknet.py

@@ -313,7 +313,7 @@ netMain = None
 metaMain = None
 altNames = None
 
-def performDetect(imagePath="data/dog.jpg", thresh= 0.25, configPath = "./cfg/yolov3.cfg", weightPath = "yolov3.weights", metaPath= "./cfg/coco.data", showImage= True, makeImageOnly = False, initOnly= False):
+def performDetect(imagePath="data/dog.jpg", thresh= 0.25, configPath = "./cfg/yolov4.cfg", weightPath = "yolov4.weights", metaPath= "./cfg/coco.data", showImage= True, makeImageOnly = False, initOnly= False):
     """
     Convenience function to handle the detection and returns of objects.
 
@@ -456,7 +456,7 @@ def performDetect(imagePath="data/dog.jpg", thresh= 0.25, configPath = "./cfg/yo
             print("Unable to show image: "+str(e))
     return detections
 
-def performBatchDetect(thresh= 0.25, configPath = "./cfg/yolov3.cfg", weightPath = "yolov3.weights", metaPath= "./cfg/coco.data", hier_thresh=.5, nms=.45, batch_size=3):
+def performBatchDetect(thresh= 0.25, configPath = "./cfg/yolov4.cfg", weightPath = "yolov4.weights", metaPath= "./cfg/coco.data", hier_thresh=.5, nms=.45, batch_size=3):
     import cv2
     import numpy as np
     # NB! Image sizes should be the same

darknet_video.py

@@ -42,8 +42,8 @@ altNames = None
 def YOLO():
 
     global metaMain, netMain, altNames
-    configPath = "./cfg/yolov3.cfg"
-    weightPath = "./yolov3.weights"
+    configPath = "./cfg/yolov4.cfg"
+    weightPath = "./yolov4.weights"
     metaPath = "./cfg/coco.data"
     if not os.path.exists(configPath):
         raise ValueError("Invalid config path `" +

src/activations.c

@@ -293,6 +293,8 @@ float gradient(float x, ACTIVATION a)
             return loggy_gradient(x);
         case RELU:
             return relu_gradient(x);
+        case RELU6:
+            return relu6_gradient(x);
         case NORM_CHAN:
             //return relu_gradient(x);
         case NORM_CHAN_SOFTMAX_MAXVAL: