Trying superres

natanielruiz

2017-09-23 31fc66b795c0a57b8009d7b03f49f6cd099ceb29

 code/test_on_video.py

@@ -48,7 +48,7 @@
    # ResNet101 with 3 outputs.
    # model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 23, 3], 66)
    # ResNet50
    model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66)
    model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66, 0)
    # ResNet18
    # model = hopenet.Hopenet(torchvision.models.resnet.BasicBlock, [2, 2, 2, 2], 66)

@@ -60,7 +60,7 @@
    print 'Loading data.'

    transformations = transforms.Compose([transforms.Scale(224),
    transforms.RandomCrop(224), transforms.ToTensor(),
    transforms.CenterCrop(224), transforms.ToTensor(),
    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])])

    model.cuda(gpu)
@@ -75,11 +75,21 @@
    idx_tensor = torch.FloatTensor(idx_tensor).cuda(gpu)

    video = cv2.VideoCapture(video_path)
    width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))   # float
    height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT)) # float

    # New cv2
    # width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))   # float
    # height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT)) # float
    #
    # # Define the codec and create VideoWriter object
    # fourcc = cv2.VideoWriter_fourcc(*'MJPG')
    # out = cv2.VideoWriter('output/video/output-%s.avi' % args.output_string, fourcc, 30.0, (width, height))

    # Old cv2
    width = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))   # float
    height = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)) # float

    # Define the codec and create VideoWriter object
    fourcc = cv2.VideoWriter_fourcc(*'MJPG')
    fourcc = cv2.cv.CV_FOURCC(*'MJPG')
    out = cv2.VideoWriter('output/video/output-%s.avi' % args.output_string, fourcc, 30.0, (width, height))

    txt_out = open('output/video/output-%s.txt' % args.output_string, 'w')
@@ -141,7 +151,7 @@
        img_shape = img.size()
        img = img.view(1, img_shape[0], img_shape[1], img_shape[2])
        img = Variable(img).cuda(gpu)
        yaw, pitch, roll = model(img)
        yaw, pitch, roll, angles = model(img)

        yaw_predicted = F.softmax(yaw)
        pitch_predicted = F.softmax(pitch)