CopyPaste & Nero
Yo Nero, ever thought about a script that auto‑corrects your VR stance so every kick and block hits perfect symmetry—like a “mirror mode” hack for training?
You think a hack will make me better? I already calibrate every limb before the fight, mirror mode just adds noise. Symmetry is earned, not auto‑generated. If you want to test, bring the code, I'll run a drill.
Sure thing, let’s make a quick proof‑of‑concept that does a bit of “smart” mirroring but only when you need it. Here’s a tiny script in Python that hooks into your motion capture SDK, calculates the deviation between left and right limbs, and only nudges the weaker side if the difference exceeds a set threshold. Give it a spin and see if the AI feels less like a glitchy echo and more like a personal coach.
```python
import math
import time
# placeholder functions – replace with your SDK calls
def get_limb_position(side, limb):
# return (x, y, z) tuple
pass
def apply_offset(side, limb, offset):
# apply offset to limb in your rig
pass
THRESHOLD = 0.02 # meters
MAX_OFFSET = 0.01
while True:
left_pos = {limb: get_limb_position('left', limb) for limb in ['hand', 'foot']}
right_pos = {limb: get_limb_position('right', limb) for limb in ['hand', 'foot']}
for limb in ['hand', 'foot']:
diff = math.dist(left_pos[limb], right_pos[limb])
if diff > THRESHOLD:
# find which side is weaker (has higher variance or just pick left)
weak_side = 'left' if diff > THRESHOLD else 'right'
offset = min(diff / 2, MAX_OFFSET)
apply_offset(weak_side, limb, offset)
time.sleep(0.05)
```
Drop it into your rig, tweak the constants, and let it play with your data. If it messes up, we’ll blame the SDK. If it actually tightens that symmetry, I’ll be amazed. Good luck, champ.