shaohua-pan / robustcap Goto Github PK

Hi, I would like to access a dataset with IMU and video or images. So, can I have a raw image or video data? Thank you.

hi, I want to input video path, output a result video. What should I do？ Thank you

mp_data = torch.load(os.path.join(paths.DanceReID_raw_dir, 'kp2d_mp', name + '_' + str(p_id) + '.pt')) I can't find the “.pt” file of this part in 3DPW data set, nor can I find it in the code. How did I get it

if self.use_reproj_opt and c > self.conf_range[0]:
p = j2dc[:, 2]#获取置信度
# optimize x, y
ax = (p / j[:, 2].pow(2)).sum() + self.smooth
bx = (p * (- j[:, 0] / j[:, 2].pow(2) + j2dc[:, 0] / j[:, 2])).sum()
ay = (p / j[:, 2].pow(2)).sum() + self.smooth
by = (p * (- j[:, 1] / j[:, 2].pow(2) + j2dc[:, 1] / j[:, 2])).sum()
d_tran = torch.tensor([bx / ax, by / ay, 0]).to(device)
tran = tran + d_tran
# optimize z
j = j + d_tran#这里已经更新了bx和by
az = (p * (j[:, 0].pow(2) + j[:, 1].pow(2)) / j[:, 2].pow(4)).sum() + self.smooth
bz = (p * ((j[:, 0] / j[:, 2] - j2dc[:, 0]) * j[:, 0] / j[:, 2].pow(2) + (
j[:, 1] / j[:, 2] - j2dc[:, 1]) * j[:, 1] / j[:, 2].pow(2))).sum()
d_tran = torch.tensor([0, 0, bz / az]).to(device)
请问在上述代码中az和bz的计算依据是什么

我的式子是正确的嘛，我无法推导出az和bz

请问能否开源训练数据的处理代码，十分感谢

请问self.gravityc是如何得到的

您好，我目前有个问题，就是在unity3d渲染，我在跑live_server这个时候，显示无法连接unity3d，是否是缺少unity客户端代码，还是我做的有问题，拜托，请您回复一下，谢谢

Hi,

Thanks for sharing the code of the awesome project!

I have some questions about the acceleration from the IMUs.

First, what is the unit of the acceleration? Is it SI (m/s^2) or G (g)?

Second, is the gravity cancelled out from the acceleration? I suppose the synthetic acc generated from the AIST++ dataset does not consider the gravity, but the readings from IMUs contain the gravity.

Thanks.

能分享下supplementary materials 吗，关于imu coordinate和camera coordinate calibration的部分，谢谢~

请问训练数据是否包含amass数据集中的toctalcapture合成数据

请问这个参数代表什么意思呢？指的imu设备地址吗？还是?还有Imu数据格式能否开源？

If I want to train my own network, in which file should I make changes