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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2018-09-02 13:03:55 +02:00
parent e2a8f5bdce
commit 1d760a7046
1 changed files with 4 additions and 6 deletions
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test.py
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@ -5,7 +5,6 @@ from utils.datasets import *
from utils.utils import * from utils.utils import *
parser = argparse.ArgumentParser() parser = argparse.ArgumentParser()
parser.add_argument('-epochs', type=int, default=200, help='number of epochs')
parser.add_argument('-batch_size', type=int, default=32, help='size of each image batch') parser.add_argument('-batch_size', type=int, default=32, help='size of each image batch')
parser.add_argument('-cfg', type=str, default='cfg/yolov3.cfg', help='path to model config file') parser.add_argument('-cfg', type=str, default='cfg/yolov3.cfg', help='path to model config file')
parser.add_argument('-data_config_path', type=str, default='cfg/coco.data', help='path to data config file') parser.add_argument('-data_config_path', type=str, default='cfg/coco.data', help='path to data config file')
@ -32,11 +31,10 @@ num_classes = int(data_config['classes'])
model = Darknet(opt.cfg, opt.img_size) model = Darknet(opt.cfg, opt.img_size)
# Load weights # Load weights
weights_path = 'checkpoints/yolov3.weights' if opt.weights_path('.weights'): # darknet format
if weights_path.endswith('.weights'): # darknet format load_weights(model, opt.weights_path)
load_weights(model, weights_path) elif opt.weights_path.endswith('.pt'): # pytorch format
elif weights_path.endswith('.pt'): # pytorch format checkpoint = torch.load(opt.weights_path, map_location='cpu')
checkpoint = torch.load(weights_path, map_location='cpu')
model.load_state_dict(checkpoint['model']) model.load_state_dict(checkpoint['model'])
del checkpoint del checkpoint