Files
sunnypilot/selfdrive/common/mat.h
HaraldSchafer 08846b5c0e Torch model (#2452)
* refactor draw model

* rebase master

* correct valid_len

* rename function

* rename variables

* white space

* rebase to master

* e16c13ac-927d-455e-ae0a-81b482a2c787

* start rewriting

* save proress

* compiles!

* oops

* many fixes

* seems to work

* fix desires

* finally cleaned

* wrong std for ll

* dont pulse none

* compiles!

* ready to test

* WIP does not compile

* compiles

* various fixes

* does something!

* full 3d

* not needed

* draw up to 100m

* fix segfault

* wrong sign

* fix flicker

* add road edges

* finish v2 packet

* Added pytorch supercombo

* fix rebase

* no more keras

* Hacky solution to the NCHW/NHWC incompatibility between SNPE and our frame data

* dont break dmonitoringd, final model 229e3ce1-7259-412b-85e6-cc646d70f1d8/430

* fix hack

* Revert "fix hack"

This reverts commit 5550fc01a7881d065a5eddbbb42dac55ef7ec36c.

* Removed axis permutation hack

* Folded padding layers into conv layers

* Removed the last pad layer from the dlc

* Revert "Removed the last pad layer from the dlc"

This reverts commit b85f24b9e1d04abf64e85901a7ff49e00d82020a.

* Revert "Folded padding layers into conv layers"

This reverts commit b8d1773e4e76dea481acebbfad6a6235fbb58463.

* vision model: 5034ac8b-5703-4a49-948b-11c064d10880/780  temporal model: 229e3ce1-7259-412b-85e6-cc646d70f1d8/430  with permute + pool opt

* fix ui drawing with clips

* ./compile_torch.py 5034ac8b-5703-4a49-948b-11c064d10880/780 dfcd2375-81d8-49df-95bf-1d2d6ad86010/450 with variable history length

* std::clamp

* not sure how this compiled before

* 2895ace6-a296-47ac-86e6-17ea800a74e5/550

* db090195-8810-42de-ab38-bb835d775d87/601

* 5m is very little

* onnx runner

* add onnxruntime to pipfile

* run in real time without using the whole CPU

* bump cereal;

* add stds

* set road edge opacity based on stddev

* don't access the model packet in paint

* convert mat.h to a c++ header file (#2499)

* update tests

* safety first

Co-authored-by: deanlee <deanlee3@gmail.com>
Co-authored-by: mitchell <mitchell@comma.ai>
Co-authored-by: Comma Device <device@comma.ai>
Co-authored-by: George Hotz <george@comma.ai>
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
2020-11-11 20:31:46 -08:00

86 lines
1.6 KiB
C

#pragma once
typedef struct vec3 {
float v[3];
} vec3;
typedef struct vec4 {
float v[4];
} vec4;
typedef struct mat3 {
float v[3*3];
} mat3;
typedef struct mat4 {
float v[4*4];
} mat4;
static inline mat3 matmul3(const mat3 &a, const mat3 &b) {
mat3 ret = {{0.0}};
for (int r=0; r<3; r++) {
for (int c=0; c<3; c++) {
float v = 0.0;
for (int k=0; k<3; k++) {
v += a.v[r*3+k] * b.v[k*3+c];
}
ret.v[r*3+c] = v;
}
}
return ret;
}
static inline vec3 matvecmul3(const mat3 &a, const vec3 &b) {
vec3 ret = {{0.0}};
for (int r=0; r<3; r++) {
for (int c=0; c<3; c++) {
ret.v[r] += a.v[r*3+c] * b.v[c];
}
}
return ret;
}
static inline mat4 matmul(const mat4 &a, const mat4 &b) {
mat4 ret = {{0.0}};
for (int r=0; r<4; r++) {
for (int c=0; c<4; c++) {
float v = 0.0;
for (int k=0; k<4; k++) {
v += a.v[r*4+k] * b.v[k*4+c];
}
ret.v[r*4+c] = v;
}
}
return ret;
}
static inline vec4 matvecmul(const mat4 &a, const vec4 &b) {
vec4 ret = {{0.0}};
for (int r=0; r<4; r++) {
for (int c=0; c<4; c++) {
ret.v[r] += a.v[r*4+c] * b.v[c];
}
}
return ret;
}
// scales the input and output space of a transformation matrix
// that assumes pixel-center origin.
static inline mat3 transform_scale_buffer(const mat3 &in, float s) {
// in_pt = ( transform(out_pt/s + 0.5) - 0.5) * s
mat3 transform_out = {{
1.0f/s, 0.0f, 0.5f,
0.0f, 1.0f/s, 0.5f,
0.0f, 0.0f, 1.0f,
}};
mat3 transform_in = {{
s, 0.0f, -0.5f*s,
0.0f, s, -0.5f*s,
0.0f, 0.0f, 1.0f,
}};
return matmul3(transform_in, matmul3(in, transform_out));
}