From 7def5de920d634c3172e98dfec4007e831b6911d Mon Sep 17 00:00:00 2001 From: piyush-cosmo <53268607+piyush-cosmo@users.noreply.github.com> Date: Fri, 17 Jul 2020 02:24:21 +0530 Subject: [PATCH 1/3] wandb integrated --- MiDaS/run.py | 2 +- argument.yml | 14 ++++++++++++- main.py | 58 +++++++++++++++++++++++++++++++++++++++++----------- mesh.py | 1 + utils.py | 3 ++- 5 files changed, 63 insertions(+), 15 deletions(-) diff --git a/MiDaS/run.py b/MiDaS/run.py index a483d28..53e2cb0 100644 --- a/MiDaS/run.py +++ b/MiDaS/run.py @@ -1,5 +1,5 @@ """Compute depth maps for images in the input folder. -""" +""" import os import glob import torch diff --git a/argument.yml b/argument.yml index b6f6148..a302b5f 100644 --- a/argument.yml +++ b/argument.yml @@ -2,33 +2,45 @@ depth_edge_model_ckpt: checkpoints/edge-model.pth depth_feat_model_ckpt: checkpoints/depth-model.pth rgb_feat_model_ckpt: checkpoints/color-model.pth MiDaS_model_ckpt: MiDaS/model.pt -fps: 40 + +fps: 40 num_frames: 240 x_shift_range: [0.00, 0.00, -0.02, -0.02] y_shift_range: [0.00, 0.00, -0.02, -0.00] z_shift_range: [-0.05, -0.05, -0.07, -0.07] + traj_types: ['double-straight-line', 'double-straight-line', 'circle', 'circle'] video_postfix: ['dolly-zoom-in', 'zoom-in', 'circle', 'swing'] + specific: '' longer_side_len: 960 + src_folder: image depth_folder: depth mesh_folder: mesh video_folder: video + load_ply: False save_ply: True inference_video: True + gpu_ids: 0 + offscreen_rendering: False + img_format: '.jpg' depth_format: '.npy' + require_midas: True + depth_threshold: 0.04 ext_edge_threshold: 0.002 + sparse_iter: 5 filter_size: [7, 7, 5, 5, 5] sigma_s: 4.0 sigma_r: 0.5 + redundant_number: 12 background_thickness: 70 context_thickness: 140 diff --git a/main.py b/main.py index f4dea7f..45dccfd 100644 --- a/main.py +++ b/main.py @@ -1,3 +1,4 @@ +# imports import numpy as np import argparse import glob @@ -18,22 +19,29 @@ import copy from networks import Inpaint_Color_Net, Inpaint_Depth_Net, Inpaint_Edge_Net from MiDaS.run import run_depth -from MiDaS.monodepth_net import MonoDepthNet +from MiDaS.monodepth_net import MonoDepthNet # model to compute depth import MiDaS.MiDaS_utils as MiDaS_utils from bilateral_filtering import sparse_bilateral_filtering +import wandb +wandb.login() + +# command line arguments parser = argparse.ArgumentParser() parser.add_argument('--config', type=str, default='argument.yml',help='Configure of post processing') args = parser.parse_args() config = yaml.load(open(args.config, 'r')) if config['offscreen_rendering'] is True: vispy.use(app='egl') + +# create some directories os.makedirs(config['mesh_folder'], exist_ok=True) os.makedirs(config['video_folder'], exist_ok=True) os.makedirs(config['depth_folder'], exist_ok=True) -sample_list = get_MiDaS_samples(config['src_folder'], config['depth_folder'], config, config['specific']) +sample_list = get_MiDaS_samples(config['src_folder'], config['depth_folder'], config, config['specific']) # dict of important stuffs normal_canvas, all_canvas = None, None +# find device if isinstance(config["gpu_ids"], int) and (config["gpu_ids"] >= 0): device = config["gpu_ids"] else: @@ -41,21 +49,23 @@ print(f"running on device {device}") +# iterate over each image. for idx in tqdm(range(len(sample_list))): depth = None - sample = sample_list[idx] + sample = sample_list[idx] # select image print("Current Source ==> ", sample['src_pair_name']) mesh_fi = os.path.join(config['mesh_folder'], sample['src_pair_name'] +'.ply') image = imageio.imread(sample['ref_img_fi']) print(f"Running depth extraction at {time.time()}") if config['require_midas'] is True: - run_depth([sample['ref_img_fi']], config['src_folder'], config['depth_folder'], + run_depth([sample['ref_img_fi']], config['src_folder'], config['depth_folder'], # compute depth config['MiDaS_model_ckpt'], MonoDepthNet, MiDaS_utils, target_w=640) if 'npy' in config['depth_format']: config['output_h'], config['output_w'] = np.load(sample['depth_fi']).shape[:2] else: config['output_h'], config['output_w'] = imageio.imread(sample['depth_fi']).shape[:2] + frac = config['longer_side_len'] / max(config['output_h'], config['output_w']) config['output_h'], config['output_w'] = int(config['output_h'] * frac), int(config['output_w'] * frac) config['original_h'], config['original_w'] = config['output_h'], config['output_w'] @@ -65,32 +75,40 @@ config['gray_image'] = True else: config['gray_image'] = False + image = cv2.resize(image, (config['output_w'], config['output_h']), interpolation=cv2.INTER_AREA) - depth = read_MiDaS_depth(sample['depth_fi'], 3.0, config['output_h'], config['output_w']) + + depth = read_MiDaS_depth(sample['depth_fi'], 3.0, config['output_h'], config['output_w']) # read normalized depth computed + mean_loc_depth = depth[depth.shape[0]//2, depth.shape[1]//2] + if not(config['load_ply'] is True and os.path.exists(mesh_fi)): - vis_photos, vis_depths = sparse_bilateral_filtering(depth.copy(), image.copy(), config, num_iter=config['sparse_iter'], spdb=False) + vis_photos, vis_depths = sparse_bilateral_filtering(depth.copy(), image.copy(), config, num_iter=config['sparse_iter'], spdb=False) # do bilateral filtering depth = vis_depths[-1] model = None torch.cuda.empty_cache() + + ## MODEL INITS + print("Start Running 3D_Photo ...") print(f"Loading edge model at {time.time()}") - depth_edge_model = Inpaint_Edge_Net(init_weights=True) + depth_edge_model = Inpaint_Edge_Net(init_weights=True) # init edge inpainting model depth_edge_weight = torch.load(config['depth_edge_model_ckpt'], map_location=torch.device(device)) depth_edge_model.load_state_dict(depth_edge_weight) depth_edge_model = depth_edge_model.to(device) - depth_edge_model.eval() + depth_edge_model.eval() # in eval mode print(f"Loading depth model at {time.time()}") - depth_feat_model = Inpaint_Depth_Net() + depth_feat_model = Inpaint_Depth_Net() # init depth inpainting model depth_feat_weight = torch.load(config['depth_feat_model_ckpt'], map_location=torch.device(device)) depth_feat_model.load_state_dict(depth_feat_weight, strict=True) depth_feat_model = depth_feat_model.to(device) depth_feat_model.eval() depth_feat_model = depth_feat_model.to(device) - print(f"Loading rgb model at {time.time()}") + + print(f"Loading rgb model at {time.time()}") # init color inpainting model rgb_model = Inpaint_Color_Net() rgb_feat_weight = torch.load(config['rgb_feat_model_ckpt'], map_location=torch.device(device)) @@ -101,7 +119,8 @@ print(f"Writing depth ply (and basically doing everything) at {time.time()}") - rt_info = write_ply(image, + # do some mesh work + rt_info = write_ply(image, depth, sample['int_mtx'], mesh_fi, @@ -119,7 +138,7 @@ depth_feat_model = None torch.cuda.empty_cache() if config['save_ply'] is True or config['load_ply'] is True: - verts, colors, faces, Height, Width, hFov, vFov = read_ply(mesh_fi) + verts, colors, faces, Height, Width, hFov, vFov = read_ply(mesh_fi) # read from whatever mesh thing has done else: verts, colors, faces, Height, Width, hFov, vFov = rt_info @@ -135,3 +154,18 @@ image.copy(), copy.deepcopy(sample['int_mtx']), config, image, videos_poses, video_basename, config.get('original_h'), config.get('original_w'), border=border, depth=depth, normal_canvas=normal_canvas, all_canvas=all_canvas, mean_loc_depth=mean_loc_depth) + +wandb.init(entity='authors', project='3D-Inpainting') + +for vid_file in os.listdir('video/'): + + wandb.log({'{}'.format(vid_file.split('.')[0]): wandb.Video('video/'+vid_file)}) + +for img_file in os.listdir('image/'): + wandb.log({'{}'.format(img_file.split('.')[0]): [wandb.Image("image/{}".format(img_file))]}) + +for depth_file in os.listdir('depth/'): + if depth_file.endswith('.npy'): + depth_img = np.load("depth/{}".format(depth_file)) + wandb.log({'{}'.format(depth_file.split('.')[0]): [wandb.Image(depth_img)]}) + diff --git a/mesh.py b/mesh.py index 95cae5b..d140230 100644 --- a/mesh.py +++ b/mesh.py @@ -1826,6 +1826,7 @@ def write_ply(image, depth_edge_model, depth_edge_model_init, depth_feat_model): + depth = depth.astype(np.float64) input_mesh, xy2depth, image, depth = create_mesh(depth, image, int_mtx, config) diff --git a/utils.py b/utils.py index 808e48b..41b58ea 100644 --- a/utils.py +++ b/utils.py @@ -835,6 +835,7 @@ def clean_far_edge(mask_edge, mask_edge_with_id, context_edge, mask, info_on_pix return far_edge, uncleaned_far_edge, far_edge_with_id, near_edge_with_id +# called by main after creating some directories. def get_MiDaS_samples(image_folder, depth_folder, config, specific=None, aft_certain=None): lines = [os.path.splitext(os.path.basename(xx))[0] for xx in glob.glob(os.path.join(image_folder, '*' + config['img_format']))] samples = [] @@ -949,7 +950,7 @@ def read_MiDaS_depth(disp_fi, disp_rescale=10., h=None, w=None): disp = (disp / disp.max()) * disp_rescale if h is not None and w is not None: disp = resize(disp / disp.max(), (h, w), order=1) * disp.max() - depth = 1. / np.maximum(disp, 0.05) + depth = 1. / np.maximum(disp, 0.05) # normalize depth return depth From a252968bb49c95e83e02bc7b81a84d49be6305fc Mon Sep 17 00:00:00 2001 From: piyush-cosmo <53268607+piyush-cosmo@users.noreply.github.com> Date: Sun, 19 Jul 2020 02:35:42 +0530 Subject: [PATCH 2/3] images added --- .gitignore | 2 +- image/blackhole.jpg | Bin 0 -> 11637 bytes image/milkyway.jpg | Bin 0 -> 1736509 bytes image/nebula.jpg | Bin 0 -> 85958 bytes image/neowise1.jpg | Bin 0 -> 35868 bytes image/neowise2.jpg | Bin 0 -> 25248 bytes main.py | 1 + 7 files changed, 2 insertions(+), 1 deletion(-) create mode 100644 image/blackhole.jpg create mode 100644 image/milkyway.jpg create mode 100644 image/nebula.jpg create mode 100644 image/neowise1.jpg create mode 100644 image/neowise2.jpg diff --git a/.gitignore b/.gitignore index 83e16c9..a685766 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,5 @@ #ignore all kind of files -*.* +# *.* #except php files !*.py !*.yml diff --git 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00:00:00 2001 From: Sergiu Strat Date: Wed, 22 Jul 2020 19:11:13 +0300 Subject: [PATCH 3/3] =?UTF-8?q?ERROR:=20cannot=20verify=20filebox.ece.vt.e?= =?UTF-8?q?du's=20certificate,=20issued=20by=20=E2=80=98CN=3DLet's=20Encry?= =?UTF-8?q?pt=20Authority=20X3,O=3DLet's=20Encrypt,C=3DUS=E2=80=99:=20=20?= =?UTF-8?q?=20Issued=20certificate=20has=20expired.?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- download.sh | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/download.sh b/download.sh index 12a50b7..609de59 100755 --- a/download.sh +++ b/download.sh @@ -1,10 +1,10 @@ #!/bin/sh mkdir checkpoints -wget https://filebox.ece.vt.edu/~jbhuang/project/3DPhoto/model/color-model.pth +wget --no-check-certificate https://filebox.ece.vt.edu/~jbhuang/project/3DPhoto/model/color-model.pth mv color-model.pth checkpoints/. -wget https://filebox.ece.vt.edu/~jbhuang/project/3DPhoto/model/depth-model.pth +wget --no-check-certificate https://filebox.ece.vt.edu/~jbhuang/project/3DPhoto/model/depth-model.pth mv depth-model.pth checkpoints/. -wget https://filebox.ece.vt.edu/~jbhuang/project/3DPhoto/model/edge-model.pth +wget --no-check-certificate https://filebox.ece.vt.edu/~jbhuang/project/3DPhoto/model/edge-model.pth mv edge-model.pth checkpoints/. -wget https://filebox.ece.vt.edu/~jbhuang/project/3DPhoto/model/model.pt +wget --no-check-certificate https://filebox.ece.vt.edu/~jbhuang/project/3DPhoto/model/model.pt mv model.pt MiDaS/.

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