From b217d495fed78e32e30a769307cd9eb7c2f65952 Mon Sep 17 00:00:00 2001
From: natanielruiz <nruiz9@gatech.edu>
Date: 星期一, 30 十月 2017 07:39:22 +0800
Subject: [PATCH] Almost done
---
code/test_on_video.py | 80 ++++++++++++++++++++--------------------
1 files changed, 40 insertions(+), 40 deletions(-)
diff --git a/code/test_on_video.py b/code/test_on_video.py
index bbafbd8..c2e97db 100644
--- a/code/test_on_video.py
+++ b/code/test_on_video.py
@@ -27,6 +27,7 @@
parser.add_argument('--bboxes', dest='bboxes', help='Bounding box annotations of frames')
parser.add_argument('--output_string', dest='output_string', help='String appended to output file')
parser.add_argument('--n_frames', dest='n_frames', help='Number of frames', type=int)
+ parser.add_argument('--fps', dest='fps', help='Frames per second of source video', type=float, default=30.)
args = parser.parse_args()
return args
@@ -80,7 +81,7 @@
# 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))
+ out = cv2.VideoWriter('output/video/output-%s.avi' % args.output_string, fourcc, args.fps, (width, height))
# # Old cv2
# width = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)) # float
@@ -118,7 +119,7 @@
video.release()
txt_out.close()
sys.exit(0)
- out.write(frame)
+ # out.write(frame)
frame_num += 1
# Start processing frame with bounding box
@@ -127,49 +128,48 @@
break
while True:
- x_min, y_min, x_max, y_max, conf = int(float(line[1])), int(float(line[2])), int(float(line[3])), int(float(line[4])), float(line[5])
+ x_min, y_min, x_max, y_max = int(float(line[1])), int(float(line[2])), int(float(line[3])), int(float(line[4]))
- if conf > 0.98:
- bbox_width = abs(x_max - x_min)
- bbox_height = abs(y_max - y_min)
- # x_min -= 3 * bbox_width / 4
- # x_max += 3 * bbox_width / 4
- # y_min -= 3 * bbox_height / 4
- # y_max += bbox_height / 4
- x_min -= 50
- x_max += 50
- y_min -= 50
- y_max += 30
- x_min = max(x_min, 0)
- y_min = max(y_min, 0)
- x_max = min(frame.shape[1], x_max)
- y_max = min(frame.shape[0], y_max)
- # Crop image
- img = frame[y_min:y_max,x_min:x_max]
- img = Image.fromarray(img)
+ bbox_width = abs(x_max - x_min)
+ bbox_height = abs(y_max - y_min)
+ # x_min -= 3 * bbox_width / 4
+ # x_max += 3 * bbox_width / 4
+ # y_min -= 3 * bbox_height / 4
+ # y_max += bbox_height / 4
+ x_min -= 50
+ x_max += 50
+ y_min -= 50
+ y_max += 30
+ x_min = max(x_min, 0)
+ y_min = max(y_min, 0)
+ x_max = min(frame.shape[1], x_max)
+ y_max = min(frame.shape[0], y_max)
+ # Crop face loosely
+ img = frame[y_min:y_max,x_min:x_max]
+ img = Image.fromarray(img)
- # Transform
- img = transformations(img)
- img_shape = img.size()
- img = img.view(1, img_shape[0], img_shape[1], img_shape[2])
- img = Variable(img).cuda(gpu)
+ # Transform
+ img = transformations(img)
+ 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 = model(img)
- yaw_predicted = F.softmax(yaw)
- pitch_predicted = F.softmax(pitch)
- roll_predicted = F.softmax(roll)
- # Get continuous predictions in degrees.
- yaw_predicted = torch.sum(yaw_predicted.data[0] * idx_tensor) * 3 - 99
- pitch_predicted = torch.sum(pitch_predicted.data[0] * idx_tensor) * 3 - 99
- roll_predicted = torch.sum(roll_predicted.data[0] * idx_tensor) * 3 - 99
+ yaw_predicted = F.softmax(yaw)
+ pitch_predicted = F.softmax(pitch)
+ roll_predicted = F.softmax(roll)
+ # Get continuous predictions in degrees.
+ yaw_predicted = torch.sum(yaw_predicted.data[0] * idx_tensor) * 3 - 99
+ pitch_predicted = torch.sum(pitch_predicted.data[0] * idx_tensor) * 3 - 99
+ roll_predicted = torch.sum(roll_predicted.data[0] * idx_tensor) * 3 - 99
- # Print new frame with cube and axis
- txt_out.write(str(frame_num) + ' %f %f %f\n' % (yaw_predicted, pitch_predicted, roll_predicted))
- # utils.plot_pose_cube(frame, yaw_predicted, pitch_predicted, roll_predicted, (x_min + x_max) / 2, (y_min + y_max) / 2, size = bbox_width)
- utils.draw_axis(frame, yaw_predicted, pitch_predicted, roll_predicted, tdx = (x_min + x_max) / 2, tdy= (y_min + y_max) / 2, size = bbox_height/2)
- # Plot expanded bounding box
- # cv2.rectangle(frame, (x_min, y_min), (x_max, y_max), (0,255,0), 1)
+ # Print new frame with cube and axis
+ txt_out.write(str(frame_num) + ' %f %f %f\n' % (yaw_predicted, pitch_predicted, roll_predicted))
+ # utils.plot_pose_cube(frame, yaw_predicted, pitch_predicted, roll_predicted, (x_min + x_max) / 2, (y_min + y_max) / 2, size = bbox_width)
+ utils.draw_axis(frame, yaw_predicted, pitch_predicted, roll_predicted, tdx = (x_min + x_max) / 2, tdy= (y_min + y_max) / 2, size = bbox_height/2)
+ # Plot expanded bounding box
+ # cv2.rectangle(frame, (x_min, y_min), (x_max, y_max), (0,255,0), 1)
# Peek next frame detection
next_frame_num = int(bbox_line_list[idx+1].strip('\n').split(' ')[0])
--
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