-
Hi,
Thanks for posting your code!
I have a question for the depth maps in kitti dataset. You mentioned that before training you use the NYu tool box to fill in the sparse depth maps of kitti dat…
-
Hi,
I have read your implementation and I have a question about your implementation of sparse depth input generation in NYU dataset. You generated the sparse input when the ground truth depth is load…
-
Where can I download the NYU test set？
-
Link to another project: **DPT (Dense Prediction Transformers)** - State of the art Semantic-segmentation and Monocular depth estimation network
* Top-1 accuracy on Pascal-Context Semantic segmenta…
-
您好，我现在刚开始做单目图像深度估计的毕设，我想用tensorflow，在训练的时候，是不是应该用原始数据集吗~400G的那个，请问，如何处理V2/原始数据集。在这个数据集处理这一块，一直没搞懂。
-
Hello,
First and foremost, I must say I am extremely impressed by your work. I have a strong interest in deep learning, but given my limited capabilities, I have attempted to replicate your experim…
-
Hi,
Thanks for your work. I had some problem with adapting my own dataset. I generated depth images from Carla simulator. The max value of carla depth images is 1km (so the images have values from 3 …
ghost updated
3 years ago
-
In data_generation_NYU_depth.sh, --sd_ckpt './models/ldm/stable-diffusion-v1/stable_diffusion.ckpt', how to get this ckpt file。
No corresponding ckpt file found in the https://huggingface.co/CompVis/…
-
## タイトル: PMPNet：動的シーンにおける単眼深度推定のためのピクセル移動予測ネットワーク
## リンク: https://arxiv.org/abs/2411.04227
## 概要:
本論文では、動的シーンにおける単眼深度推定のための新しい手法を提案します。まず、動的シーンにおけるオブジェクトの移動軌道の任意性について理論的に考察します。この任意性を克服するために、短距離では点…
-
Hi, @melonwan .
I've been researching on Hand Tracking work in recently, and i'm very interested in your crossingnet work. I try to follow your project, to train crossingnet with NYU dataset and MSRA…