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 | 14 ++++++++++----
1 files changed, 10 insertions(+), 4 deletions(-)
diff --git a/darknet.py b/darknet.py
index 4e56d98..4bca5f5 100644
--- a/darknet.py
+++ b/darknet.py
@@ -78,8 +78,10 @@
#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)
@@ -222,7 +224,9 @@
#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)
+ #custom_image = cv2.resize(custom_image,(lib.network_width(net), lib.network_height(net)), interpolation = cv2.INTER_LINEAR)
#import scipy.misc
#custom_image = scipy.misc.imread(image)
#im, arr = array_to_image(custom_image) # you should comment line below: free_image(im)
@@ -233,7 +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")
@@ -360,6 +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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