dummy conn
Browse files- handcrafted_solution.py +16 -19
handcrafted_solution.py
CHANGED
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@@ -180,23 +180,18 @@ def get_smooth_uv_depth(vertices, depth, gest_seg_np, sfm_depth_np, r=5):
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'''Search on sfm depth first. Search on depthmap only if no sfm depth
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exists at all in the local region.
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'''
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r = 5
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yslice = slice(max(0, y - r), min(H, y + r))
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xslice = slice(max(0, x - r), min(W, x + r))
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local_area = sfm_depth_np[yslice, xslice]
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reduced_local_area = local_area[local_area!=0]
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PRINT = False
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while (reduced_local_area.size == 0) and r<200:
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#print('r=', r)
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r*=2
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yslice = slice(max(0, y - r), min(H, y + r))
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xslice = slice(max(0, x - r), min(W, x + r))
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local_area = sfm_depth_np[yslice, xslice]
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reduced_local_area = local_area[local_area!=0]
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if reduced_local_area.size > 0:
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#print('use sfm')
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if PRINT: print(reduced_local_area)
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@@ -256,7 +251,7 @@ def get_smooth_uv_depth(vertices, depth, gest_seg_np, sfm_depth_np, r=5):
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vertex_depth = np.array(vertex_depth)
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return uv, vertex_depth
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from numba import njit, prange
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@njit(parallel=True)
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def fill_range(u, v, z, dilate_r, c, sfm_depth_np, sfm_color_np, H, W):
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@@ -270,7 +265,7 @@ def fill_range(u, v, z, dilate_r, c, sfm_depth_np, sfm_color_np, H, W):
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if DUMP_IMG:
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sfm_color_np[j, i] = c
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return sfm_depth_np, sfm_color_np
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'''
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def get_SfM_depth(points3D, depth_np, gest_seg_np, K, R, t, dilate_r = 5):
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'''Project 3D sfm pointcloud to the image plane '''
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@@ -299,7 +294,7 @@ def get_SfM_depth(points3D, depth_np, gest_seg_np, K, R, t, dilate_r = 5):
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#checked = 0
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#print('dim of us uv zs rgb:', len(us), len(vs), len(zs), len(rgb))
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for u,v,z,c in zip(us,vs,zs, rgb):
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sfm_depth_np, sfm_color_np = fill_range(u, v, z, dilate_r, c, sfm_depth_np, sfm_color_np, H, W)
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'''
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i_range = range(max(0, u - dilate_r), min(W, u + dilate_r))
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@@ -313,7 +308,7 @@ def get_SfM_depth(points3D, depth_np, gest_seg_np, K, R, t, dilate_r = 5):
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sfm_depth_np[j, i] = z
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if DUMP_IMG:
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sfm_color_np[j, i] = c
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#print(f'checked {checked} pts')
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@@ -424,7 +419,7 @@ def get_vertices_and_edges_from_two_segmentations(ade_seg_np, gest_seg_np, edge_
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apex_pts.append(v['xy'])
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apex_pts_idxs.append(j)
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apex_pts = np.array(apex_pts)
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# Ridge connects two apex points
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def Ridge_connects_two_apex_points(gest_seg_np, color_th, apex_pts, edge_th):
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conn = []
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@@ -511,7 +506,7 @@ def get_vertices_and_edges_from_two_segmentations(ade_seg_np, gest_seg_np, edge_
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return conn, mask
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connections, line_img = classifyPairs(apex_pts, apex_pts_idxs, gest_seg_np, apex_mask, eave_end_mask)
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#print(f'{len(vertices)} vertices: {vertices}')
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#print(len(connections), ' connections: ', connections)
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if DUMP_IMG:
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@@ -808,6 +803,8 @@ def predict(entry, visualize=False, prune_dist_thr=600, depth_scale=2.5, ) -> Tu
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all_3d_vertices_clean, connections_3d_clean = prune_far(all_3d_vertices, connections_3d, prune_dist_thr=prune_dist_thr)
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else:
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all_3d_vertices_clean, connections_3d_clean = all_3d_vertices, connections_3d
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#all_3d_vertices_clean, connections_3d_clean = all_3d_vertices, connections_3d # don't prune -> cost:2.0
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#print(f'after pruning, {len(all_3d_vertices_clean)} 3d clean vertices and {len(connections_3d_clean)} 3d clean connections')
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if (len(all_3d_vertices_clean) < 2) or len(connections_3d_clean) < 1:
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'''Search on sfm depth first. Search on depthmap only if no sfm depth
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exists at all in the local region.
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'''
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PRINT = False
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r_choices = [75]
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for r in r_choices:
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yslice = slice(max(0, y - r), min(H, y + r))
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xslice = slice(max(0, x - r), min(W, x + r))
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local_area = sfm_depth_np[yslice, xslice]
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reduced_local_area = local_area[local_area!=0]
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#if np.isclose(x, 2574.81093605, atol=10) and np.isclose(y, 1063.7265987, atol=10):
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# PRINT = True
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if reduced_local_area.size > 0:
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break
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#print('r=', r)
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if reduced_local_area.size > 0:
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#print('use sfm')
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if PRINT: print(reduced_local_area)
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vertex_depth = np.array(vertex_depth)
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return uv, vertex_depth
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from numba import njit, prange
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@njit(parallel=True)
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def fill_range(u, v, z, dilate_r, c, sfm_depth_np, sfm_color_np, H, W):
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if DUMP_IMG:
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sfm_color_np[j, i] = c
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return sfm_depth_np, sfm_color_np
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''''''
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def get_SfM_depth(points3D, depth_np, gest_seg_np, K, R, t, dilate_r = 5):
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'''Project 3D sfm pointcloud to the image plane '''
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#checked = 0
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#print('dim of us uv zs rgb:', len(us), len(vs), len(zs), len(rgb))
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for u,v,z,c in zip(us,vs,zs, rgb):
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sfm_depth_np, sfm_color_np = fill_range(u, v, z, dilate_r, c, sfm_depth_np, sfm_color_np, H, W)
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'''
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i_range = range(max(0, u - dilate_r), min(W, u + dilate_r))
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sfm_depth_np[j, i] = z
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if DUMP_IMG:
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sfm_color_np[j, i] = c
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'''
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#print(f'checked {checked} pts')
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apex_pts.append(v['xy'])
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apex_pts_idxs.append(j)
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apex_pts = np.array(apex_pts)
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'''
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# Ridge connects two apex points
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def Ridge_connects_two_apex_points(gest_seg_np, color_th, apex_pts, edge_th):
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conn = []
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return conn, mask
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connections, line_img = classifyPairs(apex_pts, apex_pts_idxs, gest_seg_np, apex_mask, eave_end_mask)
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#print(f'{len(vertices)} vertices: {vertices}')
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#print(len(connections), ' connections: ', connections)
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if DUMP_IMG:
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all_3d_vertices_clean, connections_3d_clean = prune_far(all_3d_vertices, connections_3d, prune_dist_thr=prune_dist_thr)
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else:
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all_3d_vertices_clean, connections_3d_clean = all_3d_vertices, connections_3d
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connections_3d_clean = [(0, 1)]
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#all_3d_vertices_clean, connections_3d_clean = all_3d_vertices, connections_3d # don't prune -> cost:2.0
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#print(f'after pruning, {len(all_3d_vertices_clean)} 3d clean vertices and {len(connections_3d_clean)} 3d clean connections')
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if (len(all_3d_vertices_clean) < 2) or len(connections_3d_clean) < 1:
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