From 43416c4717d2430c3e11f042294d12b781fee2e1 Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期三, 27 九月 2017 04:09:30 +0800
Subject: [PATCH] Failed lstm experiment
---
code/test_on_video.py | 22 ++++++++++++++++------
1 files changed, 16 insertions(+), 6 deletions(-)
diff --git a/code/test_on_video.py b/code/test_on_video.py
index b410ea7..c837775 100644
--- a/code/test_on_video.py
+++ b/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)
--
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