Update README.md

README.md

@@ -1,14 +1,31 @@
 ---
 license: mit
 ---
-Fastmap evaluation suite. 
+# Fastmap evaluation suite. 
+
+
+You only need the databases to run fastmap. Download the images if you want to produce colored point cloud. 
+Download the subset of data you want to your local directory. 
+```bash
+huggingface-cli download whc/fastmap_sfm --repo-type dataset --local-dir ./ --include 'databases/*' 'ground_truths/*'
+```
+or use the python interface
+```python
+from huggingface_hub import hf_hub_download, snapshot_download
+snapshot_download(
+    repo_id="whc/fastmap_sfm", repo_type='dataset',
+    local_dir="./",
+    allow_patterns=["ground_truths/*",],
+    max_workers=8
+)
+```
 
 ## Images 
 We performed some light image curation 
 
 ## Databases
 Unless specified below, all databases `.db` files are produced with 
-```
+```bash
 colmap feature_extractor --ImageReader.single_camera 1 --ImageReader.camera_model SIMPLE_RADIAL --image_path {imgdir} --database_path {db_fname}
 colmap exhaustive_matcher --database_path {db_fname}
 ```
@@ -28,5 +45,8 @@ The `c2w` matrix is in OpenCV convention.
 
 We have added our gt convertion script `convert_gt.py` to this repo as a reference. 
 
+## glomap/colmap container
+We provide a singularity container `glomap_250121.sif` in the repo, and a docker container [here](https://hub.docker.com/r/haochenw/glomap/tags).
+The Dockerfile is printed in the dockerhub overview.