Datasets:
jblitzar
/
github-python

Dataset card Data Studio Files
xet
Community
text
stringlengths
0
93.6k
# Drawing gaze lines and sparks
for gaze_line in gaze_lines:
draw_gaze_line(out_img, (gaze_line[0][0], gaze_line[0][1]), (gaze_line[1][0], gaze_line[1][1]), laser_flag)
if gaze_line[2]==True:
draw_spark(out_img, (gaze_line[1][0], gaze_line[1][1]))
cv2.imshow("gaze", out_img)
key = cv2.waitKey(1)
if key == 27: break
if key == ord(u'l'): laser_flag = True if laser_flag == False else False # toggles laser_flag
if key == ord(u'f'): flip_flag = True if flip_flag == False else False # image flip flag
if key == ord(u'b'): boundary_box_flag = True if boundary_box_flag== False else False # boundary box flag
if key == ord(u's'): spark_flag = True if spark_flag == False else False # spark flag
cv2.destroyAllWindows()
if __name__ == '__main__':
sys.exit(main() or 0)
# <FILESEP>
# some functions for creation and rendering of 3d objects were borrowed/inspired from
# Juan Gallostra Acín's repository - https://github.com/juangallostra/augmented-reality
'''
Copyright (c) 2018 Juan Gallostra Acín
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''
#contains code to the .obj file and augment the object
import cv2
import numpy as np
def augment(img, obj, projection, template, scale = 4):
# takes the captureed image, object to augment, and transformation matrix
#adjust scale to make the object smaller or bigger, 4 works for the fox
h, w = template.shape
vertices = obj.vertices
img = np.ascontiguousarray(img, dtype=np.uint8)
#blacking out the aruco marker
a = np.array([[0,0,0], [w, 0, 0], [w,h,0], [0, h, 0]], np.float64 )
imgpts = np.int32(cv2.perspectiveTransform(a.reshape(-1, 1, 3), projection))
cv2.fillConvexPoly(img, imgpts, (0,0,0))
#projecting the faces to pixel coords and then drawing
for face in obj.faces:
#a face is a list [face_vertices, face_tex_coords, face_col]
face_vertices = face[0]
points = np.array([vertices[vertex - 1] for vertex in face_vertices]) #-1 because of the shifted numbering
points = scale*points
points = np.array([[p[2] + w/2, p[0] + h/2, p[1]] for p in points]) #shifted to centre
dst = cv2.perspectiveTransform(points.reshape(-1, 1, 3), projection)#transforming to pixel coords
imgpts = np.int32(dst)
cv2.fillConvexPoly(img, imgpts, face[-1])
return img
class three_d_object:
def __init__(self, filename_obj, filename_texture, color_fixed = False):
self.texture = cv2.imread(filename_texture)
self.vertices = []
self.faces = []
#each face is a list of [lis_vertices, lis_texcoords, color]
self.texcoords = []
for line in open(filename_obj, "r"):
if line.startswith('#'):
#it's a comment, ignore
continue
values = line.split()
if not values:
continue
if values[0] == 'v':
#vertex description (x, y, z)
v = [float(a) for a in values[1:4] ]
self.vertices.append(v)