def read_img_cam_silh_persp(img_folder, cam_folder, silh_folder, cam_id, frame_id):
curr_img_name = img_folder + "cam_%05d_frame_%05d.bmp" % (cam_id, frame_id)
curr_silh_name = silh_folder + \
"cam_%05d_frame_%05d.png" % (cam_id, frame_id)
curr_cam_name = cam_folder + "cam_%05d.txt" % cam_id
[curr_img, ni, nj] = bstm_vil_adaptor.load_image(curr_img_name)
[silhouette, ni, nj] = bstm_vil_adaptor.load_image(curr_silh_name)
t_silh = bstm_vil_adaptor.threshold_image(silhouette, 1)
curr_cam = bstm_vpgl_adaptor.load_perspective_camera(curr_cam_name)
remove_data(silhouette)
return [curr_img, curr_cam, t_silh]
def read_img_cam_silh_persp(img_folder, cam_folder, silh_folder, cam_id,
frame_id):
curr_img_name = img_folder + "cam_%05d_frame_%05d.bmp" % (cam_id, frame_id)
curr_silh_name = silh_folder + \
"cam_%05d_frame_%05d.png" % (cam_id, frame_id)
curr_cam_name = cam_folder + "cam_%05d.txt" % cam_id
[curr_img, ni, nj] = bstm_vil_adaptor.load_image(curr_img_name)
[silhouette, ni, nj] = bstm_vil_adaptor.load_image(curr_silh_name)
t_silh = bstm_vil_adaptor.threshold_image(silhouette, 1)
curr_cam = bstm_vpgl_adaptor.load_perspective_camera(curr_cam_name)
remove_data(silhouette)
return [curr_img, curr_cam, t_silh]
def read_img_cam_silh(img_folder, cam_folder, silh_folder, cam_id, frame_id):
curr_img_name = img_folder + "cam_%05d_frame_%05d.png" % (cam_id,frame_id)
curr_silh_name = silh_folder + "cam_%05d_frame_%05d.png" % (cam_id,frame_id)
curr_cam_name = cam_folder + "cam_%05d.txt" % cam_id
[curr_img, ni, nj] = bstm_vil_adaptor.load_image(curr_img_name);
[silhouette, ni, nj] = bstm_vil_adaptor.load_image(curr_silh_name);
t_silh = bstm_vil_adaptor.threshold_image(silhouette,1);
proj_cam = bstm_vpgl_adaptor.load_projective_camera(curr_cam_name);
curr_cam = bstm_vpgl_adaptor.convert_to_generic_camera(proj_cam,ni,nj,0);
remove_data(silhouette)
remove_data(proj_cam)
return [curr_img, curr_cam, t_silh]
def read_imgs_from_folder(folder):
img_names = glob(img_folder + "*.png")
img_names.sort()
imgs = []
for img_name in img_names:
[curr_img, ni, nj] = bstm_vil_adaptor.load_image(img_name)
imgs.append(curr_img)
return imgs
def read_img_cam_silh(img_folder, cam_folder, silh_folder, cam_id, frame_id):
curr_img_name = img_folder + "cam_%05d_frame_%05d.png" % (cam_id, frame_id)
curr_silh_name = silh_folder + \
"cam_%05d_frame_%05d.png" % (cam_id, frame_id)
curr_cam_name = cam_folder + "cam_%05d.txt" % cam_id
[curr_img, ni, nj] = bstm_vil_adaptor.load_image(curr_img_name)
[silhouette, ni, nj] = bstm_vil_adaptor.load_image(curr_silh_name)
t_silh = bstm_vil_adaptor.threshold_image(silhouette, 1)
proj_cam = bstm_vpgl_adaptor.load_projective_camera(curr_cam_name)
curr_cam = bstm_vpgl_adaptor.convert_to_generic_camera(proj_cam, ni, nj, 0)
remove_data(silhouette)
remove_data(proj_cam)
return [curr_img, curr_cam, t_silh]
def read_imgs_from_folder(folder):
img_names = glob(img_folder + "*.png")
img_names.sort()
imgs = []
for img_name in img_names:
[curr_img, ni, nj] = bstm_vil_adaptor.load_image(img_name)
imgs.append(curr_img)
return imgs
