nik blender ptn
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parent
96741571a3
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1
.gitignore
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.gitignore
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.direnv
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data
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assets
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*.blend1
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3
.vscode/settings.json
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.vscode/settings.json
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{
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"nixEnvSelector.nixFile": "${workspaceRoot}/shell.nix"
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}
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@ -15,6 +15,10 @@
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poetry
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python3
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python310Packages.numpy
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(python310Packages.opencv4.override {
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enableGtk2 = true;
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gtk2 = pkgs.gtk2;
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})
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blender
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];
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};
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@ -46,6 +46,9 @@ for i, (phi, theta) in enumerate(poses):
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bpy.context.scene.objects["Empty"].rotation_euler[0] = phi
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bpy.context.scene.objects["Empty"].rotation_euler[2] = theta
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# fuck you blender and your stupid shit
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bpy.context.view_layer.update()
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# get camera matrices
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P, K, RT = get_3x4_P_matrix_from_blender(cam)
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@ -58,10 +61,7 @@ for i, (phi, theta) in enumerate(poses):
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}, f)
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print(f"Saved camera matrices: {i:04d}.pickle")
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# set frame number
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bpy.context.scene.frame_current = i
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# render the frame
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bpy.context.scene.frame_current = i
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bpy.ops.render.render(write_still=False)
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47
src/main.py
47
src/main.py
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@ -3,38 +3,27 @@ import numpy as np
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from itertools import product
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import pickle
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from matrices_reader import *
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VOXEL_SIZE = 3e-2
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X_MIN, X_MAX = -1.5, 1.5
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Y_MIN, Y_MAX = -1.5, 1.5
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Z_MIN, Z_MAX = -0.5, 0.5
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PICKLE_PATH = "/tmp/pickle.truc"
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VOXEL_SIZE = 2e-2
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X_MIN, X_MAX = -2.0, 2.0
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Y_MIN, Y_MAX = -2.0, 2.0
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Z_MIN, Z_MAX = -2.0, 2.0
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with open(PICKLE_PATH, 'rb') as file:
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projection_matrices = pickle.load(file)
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nb_frame = len(projection_matrices) - 1
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nb_frame = 24
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points = np.array([[x, y, z, 1.0] for x, y, z in product(
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np.arange(X_MIN, X_MAX, VOXEL_SIZE),
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np.arange(Y_MIN, Y_MAX, VOXEL_SIZE),
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np.arange(Z_MIN, Z_MAX, VOXEL_SIZE))])
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points_tor = np.array([[np.cos(theta), np.sin(theta), 0.0, 1.0] for theta, phi, r in product(
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np.arange(0, 2*np.pi, 0.1),
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np.arange(0, 2*np.pi, 0.1),
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np.arange(0.0, 0.25, 0.1))])
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mask = np.array([255, 255, 255])
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# is_in = []
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# p = [0.0, 1.1, 0.0]
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test_point = [0, 0, 0, 1.0]
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for k in range(nb_frame):
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# points = np.array([p +[1.0]])
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frame = cv2.imread(f'/tmp/masks/Image{k:04}.png')
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frame = cv2.imread(f'/tmp/masks/Image{k+1:04}.png')
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proj_mat = projection_matrices[k]
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with open(f"/tmp/cameras/{k:04d}.pickle", 'rb') as file:
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proj_mat = pickle.load(file)["P"]
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cam_points = proj_mat @ points.T
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cam_points /= cam_points[2,:]
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cam_points = cam_points[:,solid]
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points = points[solid,:]
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# is_in.append(len(points) != 0)
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for cam_point in cam_points.T:
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# cv2.circle(frame, (cam_point[0], cam_point[1]), 2, (255*is_in[k], 0, 255*(not is_in[k])))
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cv2.circle(frame, (cam_point[0], cam_point[1]), 2, (255, 0, 255))
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# points = np.array([p + [1.0]])
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print(points.shape)
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cv2.imshow('Frame', frame)
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cv2.waitKey(0)
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print("result")
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for k in range(nb_frame):
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frame = cv2.imread(f'/tmp/masks/Image{k+1:04}.png')
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proj_mat = projection_matrices[k]
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frame = cv2.imread(f'/tmp/masks/Image{k:04}.png')
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with open(f"/tmp/cameras/{k:04d}.pickle", 'rb') as file:
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proj_mat = pickle.load(file)["P"]
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cam_points = proj_mat @ points.T
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cam_points /= cam_points[2,:]
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11
src/test.py
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11
src/test.py
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import pickle
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nb_frame = 24
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for k in range(nb_frame):
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with open(f"/tmp/cameras/{k:04d}.pickle", 'rb') as file:
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proj_mat = pickle.load(file)["P"]
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print(k, proj_mat)
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