1use crate::{Crop, Error, Flip, FunctionTimer, ImageProcessorTrait, Rect, Result, Rotation};
5use edgefirst_decoder::{DetectBox, ProtoData, Segmentation};
6use edgefirst_tensor::{
7 DType, PixelFormat, Tensor, TensorDyn, TensorMapTrait, TensorMemory, TensorTrait,
8};
9
10mod convert;
11mod masks;
12mod resize;
13mod tests;
14
15use masks::bilinear_dot;
16
17#[derive(Debug, Clone)]
20pub struct CPUProcessor {
21 resizer: fast_image_resize::Resizer,
22 options: fast_image_resize::ResizeOptions,
23 colors: [[u8; 4]; 20],
24}
25
26unsafe impl Send for CPUProcessor {}
27unsafe impl Sync for CPUProcessor {}
28
29impl Default for CPUProcessor {
30 fn default() -> Self {
31 Self::new_bilinear()
32 }
33}
34
35fn row_stride_for(width: usize, fmt: PixelFormat) -> usize {
37 use edgefirst_tensor::PixelLayout;
38 match fmt.layout() {
39 PixelLayout::Packed => width * fmt.channels(),
40 PixelLayout::Planar | PixelLayout::SemiPlanar => width,
41 _ => width, }
43}
44
45pub(crate) fn apply_int8_xor_bias(data: &mut [u8], fmt: PixelFormat) {
50 use edgefirst_tensor::PixelLayout;
51 if !fmt.has_alpha() {
52 for b in data.iter_mut() {
53 *b ^= 0x80;
54 }
55 } else if fmt.layout() == PixelLayout::Planar {
56 let channels = fmt.channels();
58 let plane_size = data.len() / channels;
59 for b in data[..plane_size * (channels - 1)].iter_mut() {
60 *b ^= 0x80;
61 }
62 } else {
63 let channels = fmt.channels();
65 for pixel in data.chunks_exact_mut(channels) {
66 for b in &mut pixel[..channels - 1] {
67 *b ^= 0x80;
68 }
69 }
70 }
71}
72
73impl CPUProcessor {
74 pub fn new() -> Self {
76 Self::new_bilinear()
77 }
78
79 fn new_bilinear() -> Self {
81 let resizer = fast_image_resize::Resizer::new();
82 let options = fast_image_resize::ResizeOptions::new()
83 .resize_alg(fast_image_resize::ResizeAlg::Convolution(
84 fast_image_resize::FilterType::Bilinear,
85 ))
86 .use_alpha(false);
87
88 log::debug!("CPUConverter created");
89 Self {
90 resizer,
91 options,
92 colors: crate::DEFAULT_COLORS_U8,
93 }
94 }
95
96 pub fn new_nearest() -> Self {
98 let resizer = fast_image_resize::Resizer::new();
99 let options = fast_image_resize::ResizeOptions::new()
100 .resize_alg(fast_image_resize::ResizeAlg::Nearest)
101 .use_alpha(false);
102 log::debug!("CPUConverter created");
103 Self {
104 resizer,
105 options,
106 colors: crate::DEFAULT_COLORS_U8,
107 }
108 }
109
110 pub(crate) fn support_conversion_pf(src: PixelFormat, dst: PixelFormat) -> bool {
111 use PixelFormat::*;
112 matches!(
113 (src, dst),
114 (Nv12, Rgb)
115 | (Nv12, Rgba)
116 | (Nv12, Grey)
117 | (Nv16, Rgb)
118 | (Nv16, Rgba)
119 | (Nv16, Bgra)
120 | (Yuyv, Rgb)
121 | (Yuyv, Rgba)
122 | (Yuyv, Grey)
123 | (Yuyv, Yuyv)
124 | (Yuyv, PlanarRgb)
125 | (Yuyv, PlanarRgba)
126 | (Yuyv, Nv16)
127 | (Vyuy, Rgb)
128 | (Vyuy, Rgba)
129 | (Vyuy, Grey)
130 | (Vyuy, Vyuy)
131 | (Vyuy, PlanarRgb)
132 | (Vyuy, PlanarRgba)
133 | (Vyuy, Nv16)
134 | (Rgba, Rgb)
135 | (Rgba, Rgba)
136 | (Rgba, Grey)
137 | (Rgba, Yuyv)
138 | (Rgba, PlanarRgb)
139 | (Rgba, PlanarRgba)
140 | (Rgba, Nv16)
141 | (Rgb, Rgb)
142 | (Rgb, Rgba)
143 | (Rgb, Grey)
144 | (Rgb, Yuyv)
145 | (Rgb, PlanarRgb)
146 | (Rgb, PlanarRgba)
147 | (Rgb, Nv16)
148 | (Grey, Rgb)
149 | (Grey, Rgba)
150 | (Grey, Grey)
151 | (Grey, Yuyv)
152 | (Grey, PlanarRgb)
153 | (Grey, PlanarRgba)
154 | (Grey, Nv16)
155 | (Nv12, Bgra)
156 | (Yuyv, Bgra)
157 | (Vyuy, Bgra)
158 | (Rgba, Bgra)
159 | (Rgb, Bgra)
160 | (Grey, Bgra)
161 | (Bgra, Bgra)
162 | (PlanarRgb, Rgb)
163 | (PlanarRgb, Rgba)
164 | (PlanarRgba, Rgb)
165 | (PlanarRgba, Rgba)
166 | (PlanarRgb, Bgra)
167 | (PlanarRgba, Bgra)
168 )
169 }
170
171 pub(crate) fn convert_format_pf(
173 src: &Tensor<u8>,
174 dst: &mut Tensor<u8>,
175 src_fmt: PixelFormat,
176 dst_fmt: PixelFormat,
177 ) -> Result<()> {
178 let _timer = FunctionTimer::new(format!(
179 "ImageProcessor::convert_format {} to {}",
180 src_fmt, dst_fmt,
181 ));
182
183 use PixelFormat::*;
184 match (src_fmt, dst_fmt) {
185 (Nv12, Rgb) => Self::convert_nv12_to_rgb(src, dst),
186 (Nv12, Rgba) => Self::convert_nv12_to_rgba(src, dst),
187 (Nv12, Grey) => Self::convert_nv12_to_grey(src, dst),
188 (Yuyv, Rgb) => Self::convert_yuyv_to_rgb(src, dst),
189 (Yuyv, Rgba) => Self::convert_yuyv_to_rgba(src, dst),
190 (Yuyv, Grey) => Self::convert_yuyv_to_grey(src, dst),
191 (Yuyv, Yuyv) => Self::copy_image(src, dst),
192 (Yuyv, PlanarRgb) => Self::convert_yuyv_to_8bps(src, dst),
193 (Yuyv, PlanarRgba) => Self::convert_yuyv_to_prgba(src, dst),
194 (Yuyv, Nv16) => Self::convert_yuyv_to_nv16(src, dst),
195 (Vyuy, Rgb) => Self::convert_vyuy_to_rgb(src, dst),
196 (Vyuy, Rgba) => Self::convert_vyuy_to_rgba(src, dst),
197 (Vyuy, Grey) => Self::convert_vyuy_to_grey(src, dst),
198 (Vyuy, Vyuy) => Self::copy_image(src, dst),
199 (Vyuy, PlanarRgb) => Self::convert_vyuy_to_8bps(src, dst),
200 (Vyuy, PlanarRgba) => Self::convert_vyuy_to_prgba(src, dst),
201 (Vyuy, Nv16) => Self::convert_vyuy_to_nv16(src, dst),
202 (Rgba, Rgb) => Self::convert_rgba_to_rgb(src, dst),
203 (Rgba, Rgba) => Self::copy_image(src, dst),
204 (Rgba, Grey) => Self::convert_rgba_to_grey(src, dst),
205 (Rgba, Yuyv) => Self::convert_rgba_to_yuyv(src, dst),
206 (Rgba, PlanarRgb) => Self::convert_rgba_to_8bps(src, dst),
207 (Rgba, PlanarRgba) => Self::convert_rgba_to_prgba(src, dst),
208 (Rgba, Nv16) => Self::convert_rgba_to_nv16(src, dst),
209 (Rgb, Rgb) => Self::copy_image(src, dst),
210 (Rgb, Rgba) => Self::convert_rgb_to_rgba(src, dst),
211 (Rgb, Grey) => Self::convert_rgb_to_grey(src, dst),
212 (Rgb, Yuyv) => Self::convert_rgb_to_yuyv(src, dst),
213 (Rgb, PlanarRgb) => Self::convert_rgb_to_8bps(src, dst),
214 (Rgb, PlanarRgba) => Self::convert_rgb_to_prgba(src, dst),
215 (Rgb, Nv16) => Self::convert_rgb_to_nv16(src, dst),
216 (Grey, Rgb) => Self::convert_grey_to_rgb(src, dst),
217 (Grey, Rgba) => Self::convert_grey_to_rgba(src, dst),
218 (Grey, Grey) => Self::copy_image(src, dst),
219 (Grey, Yuyv) => Self::convert_grey_to_yuyv(src, dst),
220 (Grey, PlanarRgb) => Self::convert_grey_to_8bps(src, dst),
221 (Grey, PlanarRgba) => Self::convert_grey_to_prgba(src, dst),
222 (Grey, Nv16) => Self::convert_grey_to_nv16(src, dst),
223
224 (Nv16, Rgb) => Self::convert_nv16_to_rgb(src, dst),
226 (Nv16, Rgba) => Self::convert_nv16_to_rgba(src, dst),
227 (PlanarRgb, Rgb) => Self::convert_8bps_to_rgb(src, dst),
228 (PlanarRgb, Rgba) => Self::convert_8bps_to_rgba(src, dst),
229 (PlanarRgba, Rgb) => Self::convert_prgba_to_rgb(src, dst),
230 (PlanarRgba, Rgba) => Self::convert_prgba_to_rgba(src, dst),
231
232 (Bgra, Bgra) => Self::copy_image(src, dst),
234 (Nv12, Bgra) => {
235 Self::convert_nv12_to_rgba(src, dst)?;
236 Self::swizzle_rb_4chan(dst)
237 }
238 (Nv16, Bgra) => {
239 Self::convert_nv16_to_rgba(src, dst)?;
240 Self::swizzle_rb_4chan(dst)
241 }
242 (Yuyv, Bgra) => {
243 Self::convert_yuyv_to_rgba(src, dst)?;
244 Self::swizzle_rb_4chan(dst)
245 }
246 (Vyuy, Bgra) => {
247 Self::convert_vyuy_to_rgba(src, dst)?;
248 Self::swizzle_rb_4chan(dst)
249 }
250 (Rgba, Bgra) => {
251 dst.map()?.copy_from_slice(&src.map()?);
252 Self::swizzle_rb_4chan(dst)
253 }
254 (Rgb, Bgra) => {
255 Self::convert_rgb_to_rgba(src, dst)?;
256 Self::swizzle_rb_4chan(dst)
257 }
258 (Grey, Bgra) => {
259 Self::convert_grey_to_rgba(src, dst)?;
260 Self::swizzle_rb_4chan(dst)
261 }
262 (PlanarRgb, Bgra) => {
263 Self::convert_8bps_to_rgba(src, dst)?;
264 Self::swizzle_rb_4chan(dst)
265 }
266 (PlanarRgba, Bgra) => {
267 Self::convert_prgba_to_rgba(src, dst)?;
268 Self::swizzle_rb_4chan(dst)
269 }
270
271 (s, d) => Err(Error::NotSupported(format!("Conversion from {s} to {d}",))),
272 }
273 }
274
275 pub(crate) fn fill_image_outside_crop_u8(
277 dst: &mut Tensor<u8>,
278 rgba: [u8; 4],
279 crop: Rect,
280 ) -> Result<()> {
281 let dst_fmt = dst.format().unwrap();
282 let dst_w = dst.width().unwrap();
283 let dst_h = dst.height().unwrap();
284 let mut dst_map = dst.map()?;
285 let dst_tup = (dst_map.as_mut_slice(), dst_w, dst_h);
286 Self::fill_outside_crop_dispatch(dst_tup, dst_fmt, rgba, crop)
287 }
288
289 fn fill_outside_crop_dispatch(
291 dst: (&mut [u8], usize, usize),
292 fmt: PixelFormat,
293 rgba: [u8; 4],
294 crop: Rect,
295 ) -> Result<()> {
296 use PixelFormat::*;
297 match fmt {
298 Rgba | Bgra => Self::fill_image_outside_crop_(dst, rgba, crop),
299 Rgb => Self::fill_image_outside_crop_(dst, Self::rgba_to_rgb(rgba), crop),
300 Grey => Self::fill_image_outside_crop_(dst, Self::rgba_to_grey(rgba), crop),
301 Yuyv => Self::fill_image_outside_crop_(
302 (dst.0, dst.1 / 2, dst.2),
303 Self::rgba_to_yuyv(rgba),
304 Rect::new(crop.left / 2, crop.top, crop.width.div_ceil(2), crop.height),
305 ),
306 PlanarRgb => Self::fill_image_outside_crop_planar(dst, Self::rgba_to_rgb(rgba), crop),
307 PlanarRgba => Self::fill_image_outside_crop_planar(dst, rgba, crop),
308 Nv16 => {
309 let yuyv = Self::rgba_to_yuyv(rgba);
310 Self::fill_image_outside_crop_yuv_semiplanar(dst, yuyv[0], [yuyv[1], yuyv[3]], crop)
311 }
312 _ => Err(Error::Internal(format!(
313 "Found unexpected destination {fmt}",
314 ))),
315 }
316 }
317}
318
319impl ImageProcessorTrait for CPUProcessor {
320 fn convert(
321 &mut self,
322 src: &TensorDyn,
323 dst: &mut TensorDyn,
324 rotation: Rotation,
325 flip: Flip,
326 crop: Crop,
327 ) -> Result<()> {
328 self.convert_impl(src, dst, rotation, flip, crop)
329 }
330
331 fn draw_decoded_masks(
332 &mut self,
333 dst: &mut TensorDyn,
334 detect: &[DetectBox],
335 segmentation: &[Segmentation],
336 overlay: crate::MaskOverlay<'_>,
337 ) -> Result<()> {
338 let dst = dst.as_u8_mut().ok_or(Error::NotAnImage)?;
339 self.draw_decoded_masks_impl(
340 dst,
341 detect,
342 segmentation,
343 overlay.opacity,
344 overlay.color_mode,
345 )
346 }
347
348 fn draw_proto_masks(
349 &mut self,
350 dst: &mut TensorDyn,
351 detect: &[DetectBox],
352 proto_data: &ProtoData,
353 overlay: crate::MaskOverlay<'_>,
354 ) -> Result<()> {
355 let dst = dst.as_u8_mut().ok_or(Error::NotAnImage)?;
356 self.draw_proto_masks_impl(
357 dst,
358 detect,
359 proto_data,
360 overlay.opacity,
361 overlay.letterbox,
362 overlay.color_mode,
363 )
364 }
365
366 fn set_class_colors(&mut self, colors: &[[u8; 4]]) -> Result<()> {
367 for (c, new_c) in self.colors.iter_mut().zip(colors.iter()) {
368 *c = *new_c;
369 }
370 Ok(())
371 }
372}
373
374impl CPUProcessor {
376 pub(crate) fn convert_impl(
378 &mut self,
379 src: &TensorDyn,
380 dst: &mut TensorDyn,
381 rotation: Rotation,
382 flip: Flip,
383 crop: Crop,
384 ) -> Result<()> {
385 let src_fmt = src.format().ok_or(Error::NotAnImage)?;
386 let dst_fmt = dst.format().ok_or(Error::NotAnImage)?;
387
388 match (src.dtype(), dst.dtype()) {
389 (DType::U8, DType::U8) => {
390 let src = src.as_u8().unwrap();
391 let dst = dst.as_u8_mut().unwrap();
392 self.convert_u8(src, dst, src_fmt, dst_fmt, rotation, flip, crop)
393 }
394 (DType::U8, DType::I8) => {
395 let src_u8 = src.as_u8().unwrap();
398 let dst_i8 = dst.as_i8_mut().unwrap();
399 let dst_u8 = unsafe { &mut *(dst_i8 as *mut Tensor<i8> as *mut Tensor<u8>) };
403 self.convert_u8(src_u8, dst_u8, src_fmt, dst_fmt, rotation, flip, crop)?;
404 let mut map = dst_u8.map()?;
406 apply_int8_xor_bias(map.as_mut_slice(), dst_fmt);
407 Ok(())
408 }
409 (s, d) => Err(Error::NotSupported(format!("dtype {s} -> {d}",))),
410 }
411 }
412
413 #[allow(clippy::too_many_arguments)]
415 fn convert_u8(
416 &mut self,
417 src: &Tensor<u8>,
418 dst: &mut Tensor<u8>,
419 src_fmt: PixelFormat,
420 dst_fmt: PixelFormat,
421 rotation: Rotation,
422 flip: Flip,
423 crop: Crop,
424 ) -> Result<()> {
425 use PixelFormat::*;
426
427 let src_w = src.width().unwrap();
428 let src_h = src.height().unwrap();
429 let dst_w = dst.width().unwrap();
430 let dst_h = dst.height().unwrap();
431
432 crop.check_crop_dims(src_w, src_h, dst_w, dst_h)?;
433
434 let intermediate = match (src_fmt, dst_fmt) {
436 (Nv12, Rgb) => Rgb,
437 (Nv12, Rgba) => Rgba,
438 (Nv12, Grey) => Grey,
439 (Nv12, Yuyv) => Rgba,
440 (Nv12, Nv16) => Rgba,
441 (Nv12, PlanarRgb) => Rgb,
442 (Nv12, PlanarRgba) => Rgba,
443 (Yuyv, Rgb) => Rgb,
444 (Yuyv, Rgba) => Rgba,
445 (Yuyv, Grey) => Grey,
446 (Yuyv, Yuyv) => Rgba,
447 (Yuyv, PlanarRgb) => Rgb,
448 (Yuyv, PlanarRgba) => Rgba,
449 (Yuyv, Nv16) => Rgba,
450 (Vyuy, Rgb) => Rgb,
451 (Vyuy, Rgba) => Rgba,
452 (Vyuy, Grey) => Grey,
453 (Vyuy, Vyuy) => Rgba,
454 (Vyuy, PlanarRgb) => Rgb,
455 (Vyuy, PlanarRgba) => Rgba,
456 (Vyuy, Nv16) => Rgba,
457 (Rgba, Rgb) => Rgba,
458 (Rgba, Rgba) => Rgba,
459 (Rgba, Grey) => Grey,
460 (Rgba, Yuyv) => Rgba,
461 (Rgba, PlanarRgb) => Rgba,
462 (Rgba, PlanarRgba) => Rgba,
463 (Rgba, Nv16) => Rgba,
464 (Rgb, Rgb) => Rgb,
465 (Rgb, Rgba) => Rgb,
466 (Rgb, Grey) => Grey,
467 (Rgb, Yuyv) => Rgb,
468 (Rgb, PlanarRgb) => Rgb,
469 (Rgb, PlanarRgba) => Rgb,
470 (Rgb, Nv16) => Rgb,
471 (Grey, Rgb) => Rgb,
472 (Grey, Rgba) => Rgba,
473 (Grey, Grey) => Grey,
474 (Grey, Yuyv) => Grey,
475 (Grey, PlanarRgb) => Grey,
476 (Grey, PlanarRgba) => Grey,
477 (Grey, Nv16) => Grey,
478 (Nv12, Bgra) => Rgba,
479 (Yuyv, Bgra) => Rgba,
480 (Vyuy, Bgra) => Rgba,
481 (Rgba, Bgra) => Rgba,
482 (Rgb, Bgra) => Rgb,
483 (Grey, Bgra) => Grey,
484 (Bgra, Bgra) => Bgra,
485 (Nv16, Rgb) => Rgb,
486 (Nv16, Rgba) => Rgba,
487 (Nv16, Bgra) => Rgba,
488 (PlanarRgb, Rgb) => Rgb,
489 (PlanarRgb, Rgba) => Rgb,
490 (PlanarRgb, Bgra) => Rgb,
491 (PlanarRgba, Rgb) => Rgba,
492 (PlanarRgba, Rgba) => Rgba,
493 (PlanarRgba, Bgra) => Rgba,
494 (s, d) => {
495 return Err(Error::NotSupported(format!("Conversion from {s} to {d}",)));
496 }
497 };
498
499 let need_resize_flip_rotation = rotation != Rotation::None
500 || flip != Flip::None
501 || src_w != dst_w
502 || src_h != dst_h
503 || crop.src_rect.is_some_and(|c| {
504 c != Rect {
505 left: 0,
506 top: 0,
507 width: src_w,
508 height: src_h,
509 }
510 })
511 || crop.dst_rect.is_some_and(|c| {
512 c != Rect {
513 left: 0,
514 top: 0,
515 width: dst_w,
516 height: dst_h,
517 }
518 });
519
520 if !need_resize_flip_rotation && Self::support_conversion_pf(src_fmt, dst_fmt) {
522 return Self::convert_format_pf(src, dst, src_fmt, dst_fmt);
523 }
524
525 if dst_fmt == Yuyv && !dst_w.is_multiple_of(2) {
527 return Err(Error::NotSupported(format!(
528 "{} destination must have width divisible by 2",
529 dst_fmt,
530 )));
531 }
532
533 let mut tmp_buffer;
535 let tmp;
536 let tmp_fmt;
537 if intermediate != src_fmt {
538 tmp_buffer = Tensor::<u8>::image(src_w, src_h, intermediate, Some(TensorMemory::Mem))?;
539
540 Self::convert_format_pf(src, &mut tmp_buffer, src_fmt, intermediate)?;
541 tmp = &tmp_buffer;
542 tmp_fmt = intermediate;
543 } else {
544 tmp = src;
545 tmp_fmt = src_fmt;
546 }
547
548 debug_assert!(matches!(tmp_fmt, Rgb | Rgba | Grey));
550 if tmp_fmt == dst_fmt {
551 self.resize_flip_rotate_pf(tmp, dst, dst_fmt, rotation, flip, crop)?;
552 } else if !need_resize_flip_rotation {
553 Self::convert_format_pf(tmp, dst, tmp_fmt, dst_fmt)?;
554 } else {
555 let mut tmp2 = Tensor::<u8>::image(dst_w, dst_h, tmp_fmt, Some(TensorMemory::Mem))?;
556 if crop.dst_rect.is_some_and(|c| {
557 c != Rect {
558 left: 0,
559 top: 0,
560 width: dst_w,
561 height: dst_h,
562 }
563 }) && crop.dst_color.is_none()
564 {
565 Self::convert_format_pf(dst, &mut tmp2, dst_fmt, tmp_fmt)?;
566 }
567 self.resize_flip_rotate_pf(tmp, &mut tmp2, tmp_fmt, rotation, flip, crop)?;
568 Self::convert_format_pf(&tmp2, dst, tmp_fmt, dst_fmt)?;
569 }
570 if let (Some(dst_rect), Some(dst_color)) = (crop.dst_rect, crop.dst_color) {
571 let full_rect = Rect {
572 left: 0,
573 top: 0,
574 width: dst_w,
575 height: dst_h,
576 };
577 if dst_rect != full_rect {
578 Self::fill_image_outside_crop_u8(dst, dst_color, dst_rect)?;
579 }
580 }
581
582 Ok(())
583 }
584
585 fn draw_decoded_masks_impl(
586 &mut self,
587 dst: &mut Tensor<u8>,
588 detect: &[DetectBox],
589 segmentation: &[Segmentation],
590 opacity: f32,
591 color_mode: crate::ColorMode,
592 ) -> Result<()> {
593 let dst_fmt = dst.format().ok_or(Error::NotAnImage)?;
594 if !matches!(dst_fmt, PixelFormat::Rgba | PixelFormat::Rgb) {
595 return Err(crate::Error::NotSupported(
596 "CPU image rendering only supports RGBA or RGB images".to_string(),
597 ));
598 }
599
600 let _timer = FunctionTimer::new("CPUProcessor::draw_decoded_masks");
601
602 let dst_w = dst.width().unwrap();
603 let dst_h = dst.height().unwrap();
604 let dst_rs = row_stride_for(dst_w, dst_fmt);
605 let dst_c = dst_fmt.channels();
606
607 let mut map = dst.map()?;
608 let dst_slice = map.as_mut_slice();
609
610 self.render_box(dst_w, dst_h, dst_rs, dst_c, dst_slice, detect, color_mode)?;
611
612 if segmentation.is_empty() {
613 return Ok(());
614 }
615
616 let is_semantic = segmentation[0].segmentation.shape()[2] > 1;
619
620 if is_semantic {
621 self.render_modelpack_segmentation(
622 dst_w,
623 dst_h,
624 dst_rs,
625 dst_c,
626 dst_slice,
627 &segmentation[0],
628 opacity,
629 )?;
630 } else {
631 for (idx, (seg, det)) in segmentation.iter().zip(detect).enumerate() {
632 let color_index = color_mode.index(idx, det.label);
633 self.render_yolo_segmentation(
634 dst_w,
635 dst_h,
636 dst_rs,
637 dst_c,
638 dst_slice,
639 seg,
640 color_index,
641 opacity,
642 )?;
643 }
644 }
645
646 Ok(())
647 }
648
649 fn draw_proto_masks_impl(
650 &mut self,
651 dst: &mut Tensor<u8>,
652 detect: &[DetectBox],
653 proto_data: &ProtoData,
654 opacity: f32,
655 letterbox: Option<[f32; 4]>,
656 color_mode: crate::ColorMode,
657 ) -> Result<()> {
658 let dst_fmt = dst.format().ok_or(Error::NotAnImage)?;
659 if !matches!(dst_fmt, PixelFormat::Rgba | PixelFormat::Rgb) {
660 return Err(crate::Error::NotSupported(
661 "CPU image rendering only supports RGBA or RGB images".to_string(),
662 ));
663 }
664
665 let _timer = FunctionTimer::new("CPUProcessor::draw_proto_masks");
666
667 let dst_w = dst.width().unwrap();
668 let dst_h = dst.height().unwrap();
669 let dst_rs = row_stride_for(dst_w, dst_fmt);
670 let channels = dst_fmt.channels();
671
672 let mut map = dst.map()?;
673 let dst_slice = map.as_mut_slice();
674
675 self.render_box(
676 dst_w, dst_h, dst_rs, channels, dst_slice, detect, color_mode,
677 )?;
678
679 if detect.is_empty() || proto_data.mask_coefficients.is_empty() {
680 return Ok(());
681 }
682
683 let protos_cow = proto_data.protos.as_f32();
684 let protos = protos_cow.as_ref();
685 let proto_h = protos.shape()[0];
686 let proto_w = protos.shape()[1];
687 let num_protos = protos.shape()[2];
688
689 let (lx0, lx_range, ly0, ly_range) = match letterbox {
693 Some([lx0, ly0, lx1, ly1]) => (lx0, lx1 - lx0, ly0, ly1 - ly0),
694 None => (0.0_f32, 1.0_f32, 0.0_f32, 1.0_f32),
695 };
696
697 for (idx, (det, coeff)) in detect
698 .iter()
699 .zip(proto_data.mask_coefficients.iter())
700 .enumerate()
701 {
702 let color_index = color_mode.index(idx, det.label);
703 let color = self.colors[color_index % self.colors.len()];
704 let alpha = if opacity == 1.0 {
705 color[3] as u16
706 } else {
707 (color[3] as f32 * opacity).round() as u16
708 };
709
710 let start_x = (dst_w as f32 * det.bbox.xmin).round() as usize;
713 let start_y = (dst_h as f32 * det.bbox.ymin).round() as usize;
714 let end_x = ((dst_w as f32 * det.bbox.xmax).round() as usize).min(dst_w);
715 let end_y = ((dst_h as f32 * det.bbox.ymax).round() as usize).min(dst_h);
716
717 for y in start_y..end_y {
718 for x in start_x..end_x {
719 let px = (lx0 + (x as f32 / dst_w as f32) * lx_range) * proto_w as f32 - 0.5;
723 let py = (ly0 + (y as f32 / dst_h as f32) * ly_range) * proto_h as f32 - 0.5;
724
725 let acc = bilinear_dot(protos, coeff, num_protos, px, py, proto_w, proto_h);
727
728 let mask = 1.0 / (1.0 + (-acc).exp());
730 if mask < 0.5 {
731 continue;
732 }
733
734 let dst_index = y * dst_rs + x * channels;
736 for c in 0..3 {
737 dst_slice[dst_index + c] = ((color[c] as u16 * alpha
738 + dst_slice[dst_index + c] as u16 * (255 - alpha))
739 / 255) as u8;
740 }
741 }
742 }
743 }
744
745 Ok(())
746 }
747}