From 3a33d00d22ef55247fe379b8e6c53850f43a32a8 Mon Sep 17 00:00:00 2001
From: Alexey <AlexeyAB@users.noreply.github.com>
Date: Tue, 19 Jun 2018 22:29:59 +0000
Subject: [PATCH] Update Readme.md

---
 darknet.py |   13 ++++++++-----
 1 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/darknet.py b/darknet.py
index b290a35..a8e1d12 100644
--- a/darknet.py
+++ b/darknet.py
@@ -78,13 +78,14 @@
 #lib = CDLL("darknet.so", RTLD_GLOBAL)
 hasGPU = True
 if os.name == "nt":
-    winGPUdll = "yolo_cpp_dll.dll"
-    winNoGPUdll = "yolo_cpp_dll_nogpu.dll"
+    cwd = os.path.dirname(__file__)
+    os.environ['PATH'] = cwd + ';' + os.environ['PATH']
+    winGPUdll = os.path.join(cwd, "yolo_cpp_dll.dll")
+    winNoGPUdll = os.path.join(cwd, "yolo_cpp_dll_nogpu.dll")
     envKeys = list()
     for k, v in os.environ.items():
         envKeys.append(k)
     try:
-        tmp = os.environ["CUDA_HOME"]
         try:
             tmp = os.environ["FORCE_CPU"].lower()
             if tmp in ["1", "true", "yes", "on"]:
@@ -223,7 +224,8 @@
     #pylint: disable= C0321
     im = load_image(image, 0, 0)
     #import cv2
-    #custom_image = cv2.imread(image) # use: detect(,,imagePath,)
+    #custom_image_bgr = cv2.imread(image) # use: detect(,,imagePath,)
+    #custom_image = cv2.cvtColor(custom_image_bgr, cv2.COLOR_BGR2RGB)
     #import scipy.misc
     #custom_image = scipy.misc.imread(image)
     #im, arr = array_to_image(custom_image)		# you should comment line below: free_image(im)
@@ -234,7 +236,7 @@
     if debug: print("Assigned pnum")
     predict_image(net, im)
     if debug: print("did prediction")
-    dets = get_network_boxes(net, im.w, im.h, thresh, hier_thresh, None, 0, pnum, 1)
+    dets = get_network_boxes(net, im.w, im.h, thresh, hier_thresh, None, 0, pnum, 0)
     if debug: print("Got dets")
     num = pnum[0]
     if debug: print("got zeroth index of pnum")
@@ -361,6 +363,7 @@
     if not os.path.exists(imagePath):
         raise ValueError("Invalid image path `"+os.path.abspath(imagePath)+"`")
     # Do the detection
+    #detections = detect(netMain, metaMain, imagePath, thresh)	# if is used cv2.imread(image)
     detections = detect(netMain, metaMain, imagePath.encode("ascii"), thresh)
     if showImage:
         try:

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