code wiki / _hdl_build / nx_poseest_gate.nx
nx_poseest_gate.nx
buildroot/runtime/_hdl_build/nx_poseest_gate.nx
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nx_poseest_gate.nx -- prove LEARNED pose localization (roadmap R2 v0): render the rig across arm poses,
classify the RIGHT-HAND region from the silhouette with a perceptron, prove it GENERALIZES to HELD-OUT arm
configs vs untrained at chance. image -> learned -> keypoint, the video->pose keystone middle at honest small
scale. (fresh name -- the nx_pose_estimate_gate target hit a name-keyed stale-.s cache.) expect_exit:0 ORIGINAL
dependencies 3 imports · 0 importers
imports: nx_syscalls.nxnx_figure_render.nxnx_pose_estimate.nx
imported by: nobody (leaf or entry point)
call flow from main pre-order; caps 40 nodes / depth 6 declared; ↻ = already shown
structs
| none |
consts
| 12 | const PW: i64 = 64 |
| 13 | const PH: i64 = 48 |
| 14 | const GW: i64 = 8 |
| 15 | const GH: i64 = 6 |
| 16 | const NCELL: i64 = 48 |
| 17 | const NFEAT: i64 = 49 |
| 18 | const NR: i64 = 9 |
| 19 | const NTR: i64 = 30 |
| 20 | const NHO: i64 = 9 |
| 21 | const NALL: i64 = 39 |
functions
| 9 | func hw(s: *u8) -> i64 { var n: i64=0; while s[n]!=(0 as u8){n=n+1} sys_write(1,s,n); return 0 } |
| 10 | func pn(v: i64) -> i64 { let b: *u8=sys_mmap(32) as *u8; var x: i64=v; var ng: i64=0; if x<0{ng=1;x=0-x} var i: i64=31; if x==0{b[i]=48 as u8;i=i-1} while x>0{b[i]=(48+x%10) as u8;x=x/10;i=i-1} if ng==1{b[i]=45 as u8;i=i-1} sys_write(1,(b as i64+i+1) as *u8,31-i); return 0 } |
| 23 | func clamp3(v: i64) -> i64 { if v < 0 { return 0 } if v > 2 { return 2 } return v } called by 1: main |
| 24 | func pe_sample(sk: i64, fb: *i64, zb: *i64, pitch: i64, elbow: i64, occ: *i64, wxy: *i64) -> i64 |
| 34 | func main() -> i64 |