lmd/Pose_to_SMPL_an_230402
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support CMU Mocap

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Iridoudou
2021-08-11 12:12:31 +08:00
parent 3bb691ee4d
commit dd425a66d3
13 changed files with 1311 additions and 41 deletions
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13
fit/tools/train.py
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@ -42,10 +42,10 @@ def init(smpl_layer, target, device, cfg):
params["scale"] = params["scale"].to(device)
params["pose_params"].requires_grad = True
params["shape_params"].requires_grad = True
params["scale"].requires_grad = False
params["shape_params"].requires_grad = bool(cfg.TRAIN.OPTIMIZE_SHAPE)
params["scale"].requires_grad = bool(cfg.TRAIN.OPTIMIZE_SCALE)
optimizer = optim.Adam([params["pose_params"], params["shape_params"]],
optimizer = optim.Adam([params["pose_params"], params["shape_params"], params["scale"]],
lr=cfg.TRAIN.LEARNING_RATE)
index={}
@ -73,8 +73,9 @@ def train(smpl_layer, target,
early_stop = Early_Stop()
for epoch in tqdm(range(cfg.TRAIN.MAX_EPOCH)):
# for epoch in range(cfg.TRAIN.MAX_EPOCH):
verts, Jtr = smpl_layer(pose_params, th_betas=shape_params)
loss = F.smooth_l1_loss(Jtr.index_select(1, index["smpl_index"]) * 100,
loss = F.smooth_l1_loss(Jtr.index_select(1, index["smpl_index"]) * 100 * scale,
target.index_select(1, index["dataset_index"]) * 100)
optimizer.zero_grad()
loss.backward()
@ -88,8 +89,8 @@ def train(smpl_layer, target,
break
if epoch % cfg.TRAIN.WRITE == 0:
# logger.info("Epoch {}, lossPerBatch={:.6f}, EarlyStopSatis: {}".format(
# epoch, float(loss), early_stop.satis_num))
# logger.info("Epoch {}, lossPerBatch={:.6f}, scale={:.4f} EarlyStopSatis: {}".format(
# epoch, float(loss),float(scale), early_stop.satis_num))
writer.add_scalar('loss', float(loss), epoch)
writer.add_scalar('learning_rate', float(
optimizer.state_dict()['param_groups'][0]['lr']), epoch)