| | |
|---|
| | | if int(os.environ['CUDA_VISIBLE_DEVICES']) < 0: |
|---|
| | | raise ValueError("ForceCPU") |
|---|
| | | try: |
|---|
| | | # Check a global |
|---|
| | | global DARKNET_FORCE_CPU |
|---|
| | | if DARKNET_FORCE_CPU: |
|---|
| | | raise ValueError("ForceCPU") |
|---|
| | | except NameError: |
|---|
| | | pass |
|---|
| | | #print(os.environ.keys()) |
|---|
| | | #print("FORCE_CPU flag undefined, proceeding with GPU") |
|---|
| | | # print(os.environ.keys()) |
|---|
| | | # print("FORCE_CPU flag undefined, proceeding with GPU") |
|---|
| | | if not os.path.exists(winGPUdll): |
|---|
| | | raise ValueError("NoDLL") |
|---|
| | | lib = CDLL(winGPUdll, RTLD_GLOBAL) |
|---|
| | | except (KeyError, ValueError): |
|---|
| | | print("Notice: GPU-free mode") |
|---|
| | | hasGPU = False |
|---|
| | | if os.path.exists(winNoGPUdll): |
|---|
| | | lib = CDLL(winNoGPUdll, RTLD_GLOBAL) |
|---|
| | | print("Notice: CPU-only mode") |
|---|
| | | else: |
|---|
| | | # Try the other way, in case no_gpu was |
|---|
| | | # compile but not renamed |
|---|
| | | 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.network_width.argtypes = [c_void_p] |
|---|
| | |
|---|
| | | predict_image.argtypes = [c_void_p, IMAGE] |
|---|
| | | predict_image.restype = POINTER(c_float) |
|---|
| | | |
|---|
| | | def array_to_image(arr): |
|---|
| | | import numpy as np |
|---|
| | | # need to return old values to avoid python freeing memory |
|---|
| | | arr = arr.transpose(2,0,1) |
|---|
| | | c = arr.shape[0] |
|---|
| | | h = arr.shape[1] |
|---|
| | | w = arr.shape[2] |
|---|
| | | arr = np.ascontiguousarray(arr.flat, dtype=np.float32) / 255.0 |
|---|
| | | data = arr.ctypes.data_as(POINTER(c_float)) |
|---|
| | | im = IMAGE(w,h,c,data) |
|---|
| | | return im, arr |
|---|
| | | |
|---|
| | | def classify(net, meta, im): |
|---|
| | | out = predict_image(net, im) |
|---|
| | | res = [] |
|---|
| | |
|---|
| | | """ |
|---|
| | | #pylint: disable= C0321 |
|---|
| | | im = load_image(image, 0, 0) |
|---|
| | | #import scipy.misc |
|---|
| | | #sci_image = scipy.misc.imread(image) |
|---|
| | | #im, arr = array_to_image(sci_image) # you should comment line below: free_image(im) |
|---|
| | | if debug: print("Loaded image") |
|---|
| | | num = c_int(0) |
|---|
| | | if debug: print("Assigned num") |
|---|
