From 956129586dd527cb21b35e3924867b00231d7433 Mon Sep 17 00:00:00 2001 From: gdamms Date: Wed, 18 Jan 2023 17:12:16 +0100 Subject: [PATCH] j'ai push --- fvi.py | 4 ++-- main.py | 62 ++++++++++++++++++++++++++++++--------------------- torus.blend1 | Bin 2244856 -> 0 bytes 3 files changed, 39 insertions(+), 27 deletions(-) delete mode 100644 torus.blend1 diff --git a/fvi.py b/fvi.py index db213cb..1342c38 100644 --- a/fvi.py +++ b/fvi.py @@ -141,8 +141,8 @@ if __name__ == '__main__': # Define segment # start = np.random.rand(2) * 20 - 10 # end = np.random.rand(2) * 20 - 10 - start = np.array([0., 0.]) - end = np.array([4., -4.]) + start = np.array([2.5, -3.5]) + end = np.array([7.0, 3.0]) # Plot fig = plt.figure() diff --git a/main.py b/main.py index 3b25a58..2849f14 100644 --- a/main.py +++ b/main.py @@ -7,50 +7,62 @@ from matrices_reader import * PICKLE_PATH = "/tmp/pickle.truc" -VOXEL_SIZE = 8e-2 -X_MIN, X_MAX = -2.0, 2.0 +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) +nb_frame = len(projection_matrices) - 1 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))]) -background = np.array([255, 255, 255]) -print('ok') +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] + +for k in range(nb_frame): + # points = np.array([p +[1.0]]) + + 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) + + visible = np.logical_and.reduce((0 <= cam_points[0,:], cam_points[0,:] < frame.shape[1], 0 <= cam_points[1,:], cam_points[1,:] < frame.shape[0])) + cam_points = cam_points[:,visible] + points = points[visible,:] + + solid = (frame[cam_points[1,:],cam_points[0,:]] == mask).all(axis=1) + cam_points = cam_points[:,solid] + points = points[solid,:] + + # is_in.append(len(points) != 0) + +# points = np.array([p + [1.0]]) + for k in range(nb_frame): 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, 0).astype(np.int32) - - visible = np.logical_and.reduce((0 <= cam_points[0,:], cam_points[0,:] < frame.shape[1], 0 <= cam_points[1,:], cam_points[1,:] < frame.shape[0])) - cam_points = cam_points[:,visible] - points = points[visible,:] - - solid = np.invert(((frame[cam_points[1,:],cam_points[0,:]] == background)).all(1)) - cam_points = cam_points[:,solid] - points = points[solid,:] -print('ok') -for k in range(nb_frame): - frame = cv2.imread(f'/tmp/images/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, 0).astype(np.int32) + cam_points = np.round(cam_points).astype(np.int32) for cam_point in cam_points.T: - cv2.circle(frame, (cam_point[0], cam_point[1]), 2, (255, 0, 0)) - + # 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)) cv2.imshow('Frame', frame) cv2.waitKey(0) \ No newline at end of file diff --git a/torus.blend1 b/torus.blend1 deleted file mode 100644 index 03f64922a0e6e7420a3a44166333d48b4fa80048..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2244856 zcmeFa2b5grb>|6?AkfGSbj~^FT%oJ0Q*~8`s;;h1)j3CWKxiZqOrj`3mMqzlWota= z%*u0iJhZ*uwU3W?ea?(Mwr9r+X~rX4_IjLTkJFg8Jd`w&W^Iw;-QRs(9|^RO2sA_x 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