# What is ACM? (Advanced Camera Mod)
The basic idea was to create a mod that would imitate the cameras from modern MotoGP and Ride games.
3rd person cameras have a target in the form of both the rider and the motorcycle, and they use many modifiers (velocity, tucked in/out).
Near - most comfy to ride, great immersion and smooth experience
Mid - near, that look to apex, best for racing
Far - this is the "far" version of the Mid above
Mid and Far are significantly different from Near.
They are using a heavily modified camera target (StraighterVehicle) that now use 2 cam targets.
FOV is static and set to 55 (default was 45) in all 3 cam's.
Here's ghetto lame demo - 1st lap Mid cam, 2nd lap Near cam
# What is DLF? (Dynamic Lean Formula)
Only 3 entries in the main physics file responsible for lean dynamics (and inversion) have changed, the rest is pure Ride 2.
Remember to back up your original data.mix file!
The package also contains *.BML sources
Special thanks to:
Comfy and simple Cockpit & Helmet cameras credits to peter yen @ Youtube
wbrrcg for testing
The basic idea was to create a mod that would imitate the cameras from modern MotoGP and Ride games.
3rd person cameras have a target in the form of both the rider and the motorcycle, and they use many modifiers (velocity, tucked in/out).
Near - most comfy to ride, great immersion and smooth experience
Mid - near, that look to apex, best for racing
Far - this is the "far" version of the Mid above
Mid and Far are significantly different from Near.
They are using a heavily modified camera target (StraighterVehicle) that now use 2 cam targets.
FOV is static and set to 55 (default was 45) in all 3 cam's.
Here's ghetto lame demo - 1st lap Mid cam, 2nd lap Near cam
# What is DLF? (Dynamic Lean Formula)
Only 3 entries in the main physics file responsible for lean dynamics (and inversion) have changed, the rest is pure Ride 2.
Remember to back up your original data.mix file!
The package also contains *.BML sources
Special thanks to:
Comfy and simple Cockpit & Helmet cameras credits to peter yen @ Youtube
wbrrcg for testing