nik blender ptn

This commit is contained in:
Laureηt 2023-01-19 22:01:32 +01:00
parent 96741571a3
commit 73962d26be
Signed by: Laurent
SSH key fingerprint: SHA256:kZEpW8cMJ54PDeCvOhzreNr4FSh6R13CMGH/POoO8DI
7 changed files with 45 additions and 35 deletions

1
.gitignore vendored
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@ -1,5 +1,6 @@
.direnv
data
assets
*.blend1

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@ -1,3 +0,0 @@
{
"nixEnvSelector.nixFile": "${workspaceRoot}/shell.nix"
}

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@ -15,6 +15,10 @@
poetry
python3
python310Packages.numpy
(python310Packages.opencv4.override {
enableGtk2 = true;
gtk2 = pkgs.gtk2;
})
blender
];
};

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@ -46,6 +46,9 @@ for i, (phi, theta) in enumerate(poses):
bpy.context.scene.objects["Empty"].rotation_euler[0] = phi
bpy.context.scene.objects["Empty"].rotation_euler[2] = theta
# fuck you blender and your stupid shit
bpy.context.view_layer.update()
# get camera matrices
P, K, RT = get_3x4_P_matrix_from_blender(cam)
@ -58,10 +61,7 @@ for i, (phi, theta) in enumerate(poses):
}, f)
print(f"Saved camera matrices: {i:04d}.pickle")
# set frame number
bpy.context.scene.frame_current = i
# render the frame
bpy.context.scene.frame_current = i
bpy.ops.render.render(write_still=False)

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@ -3,39 +3,28 @@ import numpy as np
from itertools import product
import pickle
from matrices_reader import *
VOXEL_SIZE = 3e-2
X_MIN, X_MAX = -1.5, 1.5
Y_MIN, Y_MAX = -1.5, 1.5
Z_MIN, Z_MAX = -0.5, 0.5
PICKLE_PATH = "/tmp/pickle.truc"
VOXEL_SIZE = 2e-2
X_MIN, X_MAX = -2.0, 2.0
Y_MIN, Y_MAX = -2.0, 2.0
Z_MIN, Z_MAX = -2.0, 2.0
with open(PICKLE_PATH, 'rb') as file:
projection_matrices = pickle.load(file)
nb_frame = len(projection_matrices) - 1
nb_frame = 24
points = np.array([[x, y, z, 1.0] for x, y, z in product(
np.arange(X_MIN, X_MAX, VOXEL_SIZE),
np.arange(Y_MIN, Y_MAX, VOXEL_SIZE),
np.arange(Z_MIN, Z_MAX, VOXEL_SIZE))])
points_tor = np.array([[np.cos(theta), np.sin(theta), 0.0, 1.0] for theta, phi, r in product(
np.arange(0, 2*np.pi, 0.1),
np.arange(0, 2*np.pi, 0.1),
np.arange(0.0, 0.25, 0.1))])
mask = np.array([255, 255, 255])
# is_in = []
# p = [0.0, 1.1, 0.0]
test_point = [0, 0, 0, 1.0]
for k in range(nb_frame):
# points = np.array([p +[1.0]])
frame = cv2.imread(f'/tmp/masks/Image{k:04}.png')
with open(f"/tmp/cameras/{k:04d}.pickle", 'rb') as file:
proj_mat = pickle.load(file)["P"]
frame = cv2.imread(f'/tmp/masks/Image{k+1:04}.png')
proj_mat = projection_matrices[k]
cam_points = proj_mat @ points.T
cam_points /= cam_points[2,:]
cam_points = np.round(cam_points).astype(np.int32)
@ -48,14 +37,22 @@ for k in range(nb_frame):
cam_points = cam_points[:,solid]
points = points[solid,:]
# is_in.append(len(points) != 0)
for cam_point in cam_points.T:
# cv2.circle(frame, (cam_point[0], cam_point[1]), 2, (255*is_in[k], 0, 255*(not is_in[k])))
cv2.circle(frame, (cam_point[0], cam_point[1]), 2, (255, 0, 255))
# points = np.array([p + [1.0]])
print(points.shape)
cv2.imshow('Frame', frame)
cv2.waitKey(0)
print("result")
for k in range(nb_frame):
frame = cv2.imread(f'/tmp/masks/Image{k+1:04}.png')
proj_mat = projection_matrices[k]
frame = cv2.imread(f'/tmp/masks/Image{k:04}.png')
with open(f"/tmp/cameras/{k:04d}.pickle", 'rb') as file:
proj_mat = pickle.load(file)["P"]
cam_points = proj_mat @ points.T
cam_points /= cam_points[2,:]
cam_points = np.round(cam_points).astype(np.int32)
@ -65,4 +62,4 @@ for k in range(nb_frame):
cv2.circle(frame, (cam_point[0], cam_point[1]), 2, (255, 0, 255))
cv2.imshow('Frame', frame)
cv2.waitKey(0)
cv2.waitKey(0)

11
src/test.py Normal file
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@ -0,0 +1,11 @@
import pickle
nb_frame = 24
for k in range(nb_frame):
with open(f"/tmp/cameras/{k:04d}.pickle", 'rb') as file:
proj_mat = pickle.load(file)["P"]
print(k, proj_mat)

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