From b8e6e80c6d411d05a9e09f1e3676eb9a7f3ea0e8 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Fri, 03 Aug 2018 11:35:03 +0000
Subject: [PATCH] Added spatial Yolo v3 yolov3-spp.cfg

---
 darknet.py |   19 +++++++++++++------
 1 files changed, 13 insertions(+), 6 deletions(-)

diff --git a/darknet.py b/darknet.py
index 9888c22..4bca5f5 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"]:
@@ -222,9 +223,13 @@
     """
     #pylint: disable= C0321
     im = load_image(image, 0, 0)
+    #import cv2
+    #custom_image_bgr = cv2.imread(image) # use: detect(,,imagePath,)
+    #custom_image = cv2.cvtColor(custom_image_bgr, cv2.COLOR_BGR2RGB)
+    #custom_image = cv2.resize(custom_image,(lib.network_width(net), lib.network_height(net)), interpolation = cv2.INTER_LINEAR)
     #import scipy.misc
-    #sci_image = scipy.misc.imread(image)
-    #im, arr = array_to_image(sci_image)		# you should comment line below: free_image(im)
+    #custom_image = scipy.misc.imread(image)
+    #im, arr = array_to_image(custom_image)		# you should comment line below: free_image(im)
     if debug: print("Loaded image")
     num = c_int(0)
     if debug: print("Assigned num")
@@ -232,7 +237,8 @@
     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, custom_image_bgr.shape[1], custom_image_bgr.shape[0], thresh, hier_thresh, None, 0, pnum, 0) # OpenCV
+    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")
@@ -359,6 +365,7 @@
     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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