mirror of https://github.com/pjreddie/darknet.git
57 lines
1.5 KiB
Python
57 lines
1.5 KiB
Python
# Stupid python path shit.
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# Instead just add darknet.py to somewhere in your python path
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# OK actually that might not be a great idea, idk, work in progress
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# Use at your own risk. or don't, i don't care
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from scipy.misc import imread
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import cv2
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def array_to_image(arr):
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arr = arr.transpose(2,0,1)
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c = arr.shape[0]
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h = arr.shape[1]
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w = arr.shape[2]
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arr = (arr/255.0).flatten()
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data = dn.c_array(dn.c_float, arr)
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im = dn.IMAGE(w,h,c,data)
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return im
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def detect2(net, meta, image, thresh=.5, hier_thresh=.5, nms=.45):
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boxes = dn.make_boxes(net)
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probs = dn.make_probs(net)
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num = dn.num_boxes(net)
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dn.network_detect(net, image, thresh, hier_thresh, nms, boxes, probs)
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res = []
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for j in range(num):
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for i in range(meta.classes):
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if probs[j][i] > 0:
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res.append((meta.names[i], probs[j][i], (boxes[j].x, boxes[j].y, boxes[j].w, boxes[j].h)))
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res = sorted(res, key=lambda x: -x[1])
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dn.free_ptrs(dn.cast(probs, dn.POINTER(dn.c_void_p)), num)
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return res
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import sys, os
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sys.path.append(os.path.join(os.getcwd(),'python/'))
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import darknet as dn
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# Darknet
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net = dn.load_net("cfg/tiny-yolo.cfg", "tiny-yolo.weights", 0)
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meta = dn.load_meta("cfg/coco.data")
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r = dn.detect(net, meta, "data/dog.jpg")
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print r
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# scipy
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arr= imread('data/dog.jpg')
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im = array_to_image(arr)
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r = detect2(net, meta, im)
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print r
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# OpenCV
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arr = cv2.imread('data/dog.jpg')
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im = array_to_image(arr)
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dn.rgbgr_image(im)
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r = detect2(net, meta, im)
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print r
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