Takes a Geoportail (https://www.geoportail.gouv.fr/) kml file and creates a matrix of correspondences between world and image points from a camera taken picture.
- Provides an input matrix for https://github.com/rodolfoap/screen2world-h (coordinates conversion using a simple homography matrix).
- Provides an input matrix for https://github.com/rodolfoap/screen2world-k (coordinates conversion using solvePnP() strategy with a camera matrix, distortion coefficients, etc.).
mkdir -p build && pushd $_;
cmake ..
make
popd
Visit https://www.geoportail.gouv.fr/ and generate a .kml file by selecting some points on the map and exporting the result (e.g. placewilson/placewilson.kml). Then:
./parsekml-geoportail.py placewilson/placewilson.kml > placewilson/placewilson.points
cat placewilson/placewilson.points
43.605450023335436 1.4486315846443174 Fnac
43.605024679081026 1.4480119943618774 c1
43.6047916124607 1.448022723197937 c2
43.60437306138812 1.4474125206470487 c3
43.60436335019179 1.4472770690917967 c4
43.60447017326533 1.4469015598297115 c5
43.604535238135355 1.4468050003051756 c6
43.60482414473066 1.44669771194458 c7
43.60531940995173 1.44732266664505 c8
43.60469013108758 1.448545753955841 pr
43.604660997647386 1.4488630337181094 pl
You have just generated a usable format for the points-picker.
Now, select the equivalent points on the image (check the window title, the required point is shown).
./ppicker
Usage: ./ppicker [IMAGE_FILE POINTS_FILE MUSTACHE_TEMPLATE]
./ppicker placewilson/placewilson.jpg placewilson/placewilson.points points-matrix.tpl
Select point: Fnac
Select point: c1
Select point: c2
Select point: c3
Select point: c4
Select point: c5
Select point: c6
Select point: c7
Select point: c8
Select point: pr
Select point: pl
[DONE] Push Q to end and generate matrix.
%YAML:1.0
---
image_points: !!opencv-matrix
rows: 11
cols: 1
dt: "2f"
data: [
85.198120, 639.537354,
382.377197, 443.686584,
370.205994, 315.537292,
644.057007, 145.074646,
703.898560, 134.194031,
894.579956, 181.343292,
946.307373, 213.985077,
1027.448486, 349.388062,
753.597412, 581.507507,
99.397766, 278.059692,
77.083984, 261.134338]
world_points: !!opencv-matrix
rows: 11
cols: 1
dt: "3f"
data: [
43.605450, 1.448632, 0.0, # Fnac
43.605026, 1.448012, 0.0, # c1
43.604790, 1.448023, 0.0, # c2
43.604374, 1.447412, 0.0, # c3
43.604362, 1.447277, 0.0, # c4
43.604469, 1.446902, 0.0, # c5
43.604534, 1.446805, 0.0, # c6
43.604824, 1.446698, 0.0, # c7
43.605320, 1.447323, 0.0, # c8
43.604691, 1.448546, 0.0, # pr
43.604660, 1.448863, 0.0] # pl