Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-15 12:47:53 -08:00
parent d884c33d21
commit 87c5e43e8c
3 changed files with 11 additions and 11 deletions
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14
detect.py
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@ -67,9 +67,9 @@ def detect(save_txt=False, save_img=False):
save_img = True
dataset = LoadImages(source, img_size=img_size, half=half)
# Get classes and colors
classes = load_classes(parse_data_cfg(opt.data)['names'])
colors = [[random.randint(0, 255) for _ in range(3)] for _ in range(len(classes))]
# Get names and colors
names = load_classes(opt.names)
colors = [[random.randint(0, 255) for _ in range(3)] for _ in range(len(names))]
# Run inference
t0 = time.time()
@ -108,7 +108,7 @@ def detect(save_txt=False, save_img=False):
# Print results
for c in det[:, -1].unique():
n = (det[:, -1] == c).sum() # detections per class
s += '%g %ss, ' % (n, classes[int(c)]) # add to string
s += '%g %ss, ' % (n, names[int(c)]) # add to string
# Write results
for *xyxy, conf, _, cls in det:
@ -117,7 +117,7 @@ def detect(save_txt=False, save_img=False):
file.write(('%g ' * 6 + '\n') % (*xyxy, cls, conf))
if save_img or view_img: # Add bbox to image
label = '%s %.2f' % (classes[int(cls)], conf)
label = '%s %.2f' % (names[int(cls)], conf)
plot_one_box(xyxy, im0, label=label, color=colors[int(cls)])
print('%sDone. (%.3fs)' % (s, time.time() - t))
@ -154,8 +154,8 @@ def detect(save_txt=False, save_img=False):
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
parser.add_argument('--data', type=str, default='data/coco2017.data', help='*.data file path')
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='*.cfg path')
parser.add_argument('--names', type=str, default='data/coco.names', help='*.names path')
parser.add_argument('--weights', type=str, default='weights/yolov3-spp.weights', help='path to weights file')
parser.add_argument('--source', type=str, default='data/samples', help='source') # input file/folder, 0 for webcam
parser.add_argument('--output', type=str, default='output', help='output folder') # output folder

4
test.py
View File

@ -203,8 +203,8 @@ def test(cfg,
if __name__ == '__main__':
parser = argparse.ArgumentParser(prog='test.py')
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
parser.add_argument('--data', type=str, default='data/coco2017.data', help='*.data file path')
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='*.cfg path')
parser.add_argument('--data', type=str, default='data/coco2017.data', help='*.data path')
parser.add_argument('--weights', type=str, default='weights/yolov3-spp.weights', help='path to weights file')
parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch')
parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')

4
train.py
View File

@ -419,8 +419,8 @@ if __name__ == '__main__':
parser.add_argument('--epochs', type=int, default=273) # 500200 batches at bs 16, 117263 images = 273 epochs
parser.add_argument('--batch-size', type=int, default=16) # effective bs = batch_size * accumulate = 16 * 4 = 64
parser.add_argument('--accumulate', type=int, default=4, help='batches to accumulate before optimizing')
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
parser.add_argument('--data', type=str, default='data/coco2017.data', help='*.data file path')
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='*.cfg path')
parser.add_argument('--data', type=str, default='data/coco2017.data', help='*.data path')
parser.add_argument('--multi-scale', action='store_true', help='adjust (67% - 150%) img_size every 10 batches')
parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
parser.add_argument('--rect', action='store_true', help='rectangular training')