Alexey
2018-05-31 1a35f49ab3ae9d74b636de8580e07ab072846ea9
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"]:
@@ -118,7 +119,7 @@
            lib = CDLL(winGPUdll, RTLD_GLOBAL)
            print("Environment variables indicated a CPU run, but we didn't find `"+winNoGPUdll+"`. Trying a GPU run anyway.")
else:
    lib = CDLL("./libdarknet.so", RTLD_GLOBAL)
    lib = CDLL("./darknet.so", RTLD_GLOBAL)
lib.network_width.argtypes = [c_void_p]
lib.network_width.restype = c_int
lib.network_height.argtypes = [c_void_p]
@@ -222,9 +223,11 @@
    """
    #pylint: disable= C0321
    im = load_image(image, 0, 0)
    #import cv2
    #custom_image = cv2.imread(image) # use: detect(,,imagePath,)
    #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")