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Small changes noticed so far #1

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16 changes: 8 additions & 8 deletions eval_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,17 +15,17 @@
def get_args_parser():
parser = argparse.ArgumentParser('Singleto3D', add_help=False)
parser.add_argument('--arch', default='resnet18', type=str)
parser.add_argument('--max_iter', default=10000, type=str)
parser.add_argument('--vis_freq', default=1000, type=str)
parser.add_argument('--batch_size', default=1, type=str)
parser.add_argument('--num_workers', default=0, type=str)
parser.add_argument('--max_iter', default=10000, type=int)
parser.add_argument('--vis_freq', default=1000, type=int)
parser.add_argument('--batch_size', default=1, type=int)
parser.add_argument('--num_workers', default=0, type=int)
parser.add_argument('--type', default='vox', choices=['vox', 'point', 'mesh'], type=str)
parser.add_argument('--n_points', default=5000, type=int)
parser.add_argument('--w_chamfer', default=1.0, type=float)
parser.add_argument('--w_smooth', default=0.1, type=float)
parser.add_argument('--load_checkpoint', action='store_true')
parser.add_argument('--device', default='cuda', type=str)
parser.add_argument('--load_feat', action='store_true')
parser.add_argument('--w_smooth', default=0.1, type=float)
parser.add_argument('--load_checkpoint', action='store_true')
parser.add_argument('--device', default='cuda', type=str)
parser.add_argument('--load_feat', action='store_true')
return parser

def preprocess(feed_dict, args):
Expand Down
17 changes: 10 additions & 7 deletions fit_data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ def fit_mesh(mesh_src, mesh_tgt, args):
start_iter = 0
start_time = time.time()

deform_vertices_src = torch.zeros(mesh_src.verts_packed().shape, requires_grad=True, device='cuda')
deform_vertices_src = torch.zeros(mesh_src.verts_packed().shape, requires_grad=True, device=args.device)
optimizer = torch.optim.Adam([deform_vertices_src], lr = args.lr)
print("Starting training !")
for step in range(start_iter, args.max_iter):
Expand All @@ -56,8 +56,9 @@ def fit_mesh(mesh_src, mesh_tgt, args):

loss_vis = loss.cpu().item()

print("[%4d/%4d]; ttime: %.0f (%.2f); loss: %.3f" % (step, args.max_iter, total_time, iter_time, loss_vis))

if (step % args.log_freq) == 0:
print("[%4d/%4d]; ttime: %.0f (%.2f); loss: %.3f" % (step, args.max_iter, total_time, iter_time, loss_vis))

mesh_src.offset_verts_(deform_vertices_src)

print('Done!')
Expand All @@ -81,8 +82,9 @@ def fit_pointcloud(pointclouds_src, pointclouds_tgt, args):

loss_vis = loss.cpu().item()

print("[%4d/%4d]; ttime: %.0f (%.2f); loss: %.3f" % (step, args.max_iter, total_time, iter_time, loss_vis))

if (step % args.log_freq) == 0:
print("[%4d/%4d]; ttime: %.0f (%.2f); loss: %.3f" % (step, args.max_iter, total_time, iter_time, loss_vis))

print('Done!')


Expand All @@ -104,8 +106,9 @@ def fit_voxel(voxels_src, voxels_tgt, args):

loss_vis = loss.cpu().item()

print("[%4d/%4d]; ttime: %.0f (%.2f); loss: %.3f" % (step, args.max_iter, total_time, iter_time, loss_vis))

if (step % args.log_freq) == 0:
print("[%4d/%4d]; ttime: %.0f (%.2f); loss: %.3f" % (step, args.max_iter, total_time, iter_time, loss_vis))

print('Done!')


Expand Down
21 changes: 11 additions & 10 deletions train_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,19 +13,19 @@ def get_args_parser():
parser = argparse.ArgumentParser('Singleto3D', add_help=False)
# Model parameters
parser.add_argument('--arch', default='resnet18', type=str)
parser.add_argument('--lr', default=4e-4, type=str)
parser.add_argument('--max_iter', default=10000, type=str)
parser.add_argument('--log_freq', default=1000, type=str)
parser.add_argument('--batch_size', default=2, type=str)
parser.add_argument('--num_workers', default=0, type=str)
parser.add_argument('--lr', default=4e-4, type=float)
parser.add_argument('--max_iter', default=10000, type=int)
parser.add_argument('--log_freq', default=1000, type=int)
parser.add_argument('--batch_size', default=2, type=int)
parser.add_argument('--num_workers', default=0, type=int)
parser.add_argument('--type', default='vox', choices=['vox', 'point', 'mesh'], type=str)
parser.add_argument('--n_points', default=5000, type=int)
parser.add_argument('--w_chamfer', default=1.0, type=float)
parser.add_argument('--w_smooth', default=0.1, type=float)
parser.add_argument('--save_freq', default=10000, type=int)
parser.add_argument('--device', default='cuda', type=str)
parser.add_argument('--load_feat', action='store_true')
parser.add_argument('--load_checkpoint', action='store_true')
parser.add_argument('--save_freq', default=10000, type=int)
parser.add_argument('--device', default='cuda', type=str)
parser.add_argument('--load_feat', action='store_true')
parser.add_argument('--load_checkpoint', action='store_true')
return parser

def preprocess(feed_dict,args):
Expand Down Expand Up @@ -126,7 +126,8 @@ def train_model(args):
'optimizer_state_dict': optimizer.state_dict()
}, f'checkpoint_{args.type}.pth')

print("[%4d/%4d]; ttime: %.0f (%.2f, %.2f); loss: %.3f" % (step, args.max_iter, total_time, read_time, iter_time, loss_vis))
if (step % args.log_freq) == 0:
print("[%4d/%4d]; ttime: %.0f (%.2f, %.2f); loss: %.3f" % (step, args.max_iter, total_time, read_time, iter_time, loss_vis))

print('Done!')

Expand Down