diff --git a/app.py b/app.py index 940b396..82c27db 100644 --- a/app.py +++ b/app.py @@ -1297,19 +1297,15 @@ async def hairline_grow( hairgrow_strength: float = Form(default=0.75, description="区域生发强度(仅 hairgrow 后端),默认 0.75"), is_hr: bool = Form(default=False, description="高清模式(换发型输出 1152×1536,否则 576×768)"), seg_model: str = Form(default="segformer", description="头发分割模型:bisenet | segformer(默认 segformer)"), - mask_type: str = Form(default="eroded", description="遮罩类型:eroded(内缩) | closed(闭合区域) | pushed(发际线外推)(默认 eroded)"), - erode_cm: float = Form(default=1.2, description="遮罩外缘朝中心151内缩距离(厘米,同接口9),默认 1.2"), - hairline_push_cm: float = Form(default=1.0, description="发际线外推距离(厘米,往头发方向推进;仅 mask_type=pushed 生效),默认 1.0"), - hairline_edge: str = Form(default="column", description="发际线提取方式:column(逐列最低点) | contour(形态学轮廓)(仅 pushed 生效),默认 column"), - swap_mode: str = Form(default="ext_mask", description="换发型取图模式:ext_mask(改造换发型用接口9遮罩) | as_is(不改换发型,贴回再裁)(默认 ext_mask)"), - blend_method: str = Form(default="feather", description="接缝融合:feather(高斯羽化) | alpha_gradient(距离渐变) | seamless(泊松无缝) | multiband(多频段金字塔)(默认 feather)"), - feather_px: int = Form(default=15, description="羽化/渐变过渡宽度(像素),默认 15"), + erode_cm: float = Form(default=0.6, description="baseline 参考内缩距离(厘米),默认 0.6"), + hairline_push_cm: float = Form(default=1.0, description="发际线外推距离(厘米,往头发方向推进),默认 1.0"), + hairline_edge: str = Form(default="column", description="发际线提取方式:column | contour,默认 column"), + swap_mode: str = Form(default="ext_mask", description="换发型取图模式:ext_mask | as_is(默认 ext_mask)"), edge_erode_px: int = Form(default=3, description="贴图前遮罩内缩像素(防边缘露皮/光晕),默认 3"), denoising_strength: float = Form(default=0.6, description="换发型 webui 重绘强度(越大生发越激进),默认 0.6"), - color_match: bool = Form(default=False, description="融合前对生成图做 Reinhard 颜色校正(消除整体色差,seamless 下自动跳过),默认 false"), - mb_levels: int = Form(default=5, description="multiband 多频段金字塔层数(2~6,越大低频色差抹得越宽,仅 multiband 生效),默认 5"), + mb_levels: int = Form(default=5, description="多频段金字塔层数(2~6,越大低频色差抹得越宽),默认 5"), ): - """接口11:发际线生发 + 分步可视化""" + """接口11:发际线生发 + 分步可视化。遮罩固定 pushed、融合固定 multiband。""" raw, e = await resolve_image_bytes(image_file, image_url, image_base64) if e is not None: return e @@ -1323,14 +1319,16 @@ async def hairline_grow( from face_analysis.hairline_grow import generate_hairline_grow, NoFaceError, SwapError from uuid import uuid4 as _uuid4 rid = _uuid4().hex[:8] - logger.info("[%s] 接口11 收到请求: mask_type=%s hairline_push_cm=%s hairline_edge=%s", - rid, mask_type, hairline_push_cm, hairline_edge) + logger.info("[%s] 接口11 收到请求: hairline_push_cm=%s hairline_edge=%s mb_levels=%s", + rid, hairline_push_cm, hairline_edge, mb_levels) try: data = await run_in_threadpool( - generate_hairline_grow, image, hairline_id, is_hr, seg_model, - mask_type, erode_cm, swap_mode, blend_method, feather_px, edge_erode_px, - denoising_strength, gen_backend, hairgrow_strength, color_match, mb_levels, - hairline_push_cm=hairline_push_cm, hairline_edge=hairline_edge, rid=rid) + generate_hairline_grow, image, hairline_id, + is_hr=is_hr, seg_model=seg_model, erode_cm=erode_cm, swap_mode=swap_mode, + edge_erode_px=edge_erode_px, denoising_strength=denoising_strength, + gen_backend=gen_backend, hairgrow_strength=hairgrow_strength, + mb_levels=mb_levels, hairline_push_cm=hairline_push_cm, + hairline_edge=hairline_edge, rid=rid) except NoFaceError: return err(1001, "无法识别人像") except SwapError as se: @@ -1348,17 +1346,15 @@ async def hairline_grow( @app.post( "/api/v1/hairline/grow_v2", - summary="接口12 发际线生发(固定金字塔融合,仅返回最终图)", + summary="接口12 发际线生发(固定 pushed 遮罩 + 多频段融合,仅返回最终图)", tags=["生发"], description=f""" -接口11 的固定参数精简版,适合生产直调。与接口11 共用同一管线,区别仅在于: +接口11 的固定参数精简版,适合生产直调。与接口11 共用同一管线,遮罩固定 pushed(发际线外推), +融合固定 multiband(多频段金字塔)。本接口固定 `erode_cm=0.6`、`mb_levels=5` 不暴露, +**只返回 `final_base64`**(最终合成图),不附带分步可视化。 -- **固定** `blend_method=multiband`(多频段金字塔融合)、`mb_levels=5`、`erode_cm=0.6` - (外缘朝中心151 内缩 0.6cm)。这三项不可调,故本接口不暴露。 -- **返回值精简**:只返回 `final_base64`(最终合成图),不再附带接口11 的分步可视化。 - -其余参数(hairline_id、seg_model、gen_backend、is_hr、denoising_strength、color_match、 -edge_erode_px 等)仍保留为可选 Form,调用方可按需覆盖,未传则用接口11 同款默认值。 +其余参数(hairline_id、seg_model、gen_backend、is_hr、denoising_strength、edge_erode_px、 +hairline_push_cm、hairline_edge 等)保留为可选 Form,调用方可按需覆盖。 {_image_fields_desc} """, @@ -1372,16 +1368,13 @@ async def hairline_grow_v2( hairgrow_strength: float = Form(default=0.75, description="区域生发强度(仅 hairgrow 后端),默认 0.75"), is_hr: bool = Form(default=False, description="高清模式(换发型输出 1152×1536,否则 576×768)"), seg_model: str = Form(default="segformer", description="头发分割模型:bisenet | segformer(默认 segformer)"), - mask_type: str = Form(default="eroded", description="遮罩类型:eroded(内缩) | closed(闭合区域) | pushed(发际线外推)(默认 eroded)"), - swap_mode: str = Form(default="ext_mask", description="换发型取图模式:ext_mask(改造换发型用接口9遮罩) | as_is(不改换发型,贴回再裁)(默认 ext_mask)"), - feather_px: int = Form(default=15, description="羽化/渐变过渡宽度(像素,本接口固定 multiband 故不生效,仅留作兼容)"), + swap_mode: str = Form(default="ext_mask", description="换发型取图模式:ext_mask | as_is(默认 ext_mask)"), edge_erode_px: int = Form(default=3, description="贴图前遮罩内缩像素(防边缘露皮/光晕),默认 3"), denoising_strength: float = Form(default=0.6, description="换发型 webui 重绘强度(越大生发越激进),默认 0.6"), - color_match: bool = Form(default=False, description="融合前对生成图做 Reinhard 颜色校正(消除整体色差),默认 false"), - hairline_push_cm: float = Form(default=1.0, description="发际线外推距离(厘米,仅 mask_type=pushed 生效),默认 1.0"), - hairline_edge: str = Form(default="column", description="发际线提取方式:column | contour(仅 pushed 生效),默认 column"), + hairline_push_cm: float = Form(default=1.0, description="发际线外推距离(厘米),默认 1.0"), + hairline_edge: str = Form(default="column", description="发际线提取方式:column | contour,默认 column"), ): - """接口12:发际线生发(固定 multiband/mb_levels=5/erode_cm=0.6,仅返回最终图)。""" + """接口12:发际线生发(固定 pushed 遮罩 + multiband 融合,仅返回最终图)。""" raw, e = await resolve_image_bytes(image_file, image_url, image_base64) if e is not None: return e @@ -1394,12 +1387,13 @@ async def hairline_grow_v2( from fastapi.concurrency import run_in_threadpool from face_analysis.hairline_grow import generate_hairline_grow, NoFaceError, SwapError try: - # 固定三项:blend_method=multiband、mb_levels=5、erode_cm=0.6 + # 固定:mask_type=pushed、blend_method=multiband、erode_cm=0.6、mb_levels=5 data = await run_in_threadpool( - generate_hairline_grow, image, hairline_id, is_hr, seg_model, - mask_type, 0.6, swap_mode, "multiband", feather_px, edge_erode_px, - denoising_strength, gen_backend, hairgrow_strength, color_match, 5, - hairline_push_cm=hairline_push_cm, hairline_edge=hairline_edge) + generate_hairline_grow, image, hairline_id, + is_hr=is_hr, seg_model=seg_model, erode_cm=0.6, swap_mode=swap_mode, + edge_erode_px=edge_erode_px, denoising_strength=denoising_strength, + gen_backend=gen_backend, hairgrow_strength=hairgrow_strength, + mb_levels=5, hairline_push_cm=hairline_push_cm, hairline_edge=hairline_edge) except NoFaceError: return err(1001, "无法识别人像") except SwapError as se: diff --git a/docs/发际线生发遮罩算法_pushed模式.md b/docs/发际线生发遮罩算法_pushed模式.md index 9b4d0ea..5f133ad 100644 --- a/docs/发际线生发遮罩算法_pushed模式.md +++ b/docs/发际线生发遮罩算法_pushed模式.md @@ -1,11 +1,14 @@ # 发际线生发遮罩算法(pushed 模式) -> 对应接口11 `/api/v1/hairline/grow`、接口12 `/api/v1/hairline/grow_v2`,`mask_type=pushed`。 +> 对应接口11 `/api/v1/hairline/grow`、接口12 `/api/v1/hairline/grow_v2`。 +> 遮罩算法固定为 pushed,融合算法固定为 multiband(已移除其他选项)。 > 代码:`face_analysis/hairline_grow.py`(`_extract_hairline` / `_pushed_mask` / `compute_mask`)。 ## 概述 -pushed 模式是发际线生发的默认遮罩算法(接口11/12 的 `mask_type` 三选一:`eroded` / `closed` / `pushed`,当前只用 pushed)。它从头发分割结果中提取「头发/皮肤交界线」(发际线),以眉心为圆心逐点径向外推一段距离,与 baseline 组成闭合区域作为最终遮罩。这样遮罩顶部会覆盖现有头发下沿一小段,贴回生发结果时顶部与真头发重叠、过渡自然。 +pushed 是发际线生发的**唯一**遮罩算法,multiband(多频段金字塔)是**唯一**融合算法。它从头发分割结果中提取「头发/皮肤交界线」(发际线),以眉心为圆心逐点径向外推一段距离,与 baseline 组成闭合区域作为最终遮罩。这样遮罩顶部会覆盖现有头发下沿一小段,贴回生发结果时顶部与真头发重叠、过渡自然。 + +> 接口12 `/api/v1/hairline/grow_v2` 只需传 `image` + `hairline_id`,遮罩和融合全部固定,无需任何算法选择参数。 ## 算法流程(5 步) @@ -54,15 +57,18 @@ segformer(默认)或 bisenet 得到的头发二值掩码。 ## 关键参数 +遮罩算法(pushed)和融合算法(multiband)已固定,接口不再暴露选择参数。可调的只有: + | 参数 | 默认 | 说明 | |---|---|---| -| `mask_type` | `eroded`(接口默认)/ `pushed`(当前推荐) | pushed 走上述流程;eroded/closed 走旧的 top_fill→closed/eroded 流程 | | `hairline_push_cm` | 1.0 | 内轮廓径向外推距离(厘米),= push_px / px_per_cm。`px_per_cm` 由虹膜直径标定 | -| `hairline_edge` | `column` | 兼容保留的入参;新版内轮廓提取(轮廓+内侧判定)不再按它分支,取值不影响结果 | +| `hairline_edge` | `column` | 兼容保留的入参;内轮廓提取(轮廓+内侧判定)不再按它分支,取值不影响结果 | +| `mb_levels` | 5 | 多频段金字塔层数(2~6,越大低频色差抹得越宽)| +| `erode_cm` | 0.6(接口12 固定)| baseline 参考内缩距离,对 pushed 影响很小 | -## 与旧模式(eroded/closed)的区别 +## 与旧模式(eroded/closed,已移除)的区别 -| | eroded/closed | pushed(当前) | +| | eroded/closed(已移除) | pushed(当前唯一) | |---|---|---| | 遮罩来源 | top_fill(头发向下填充含额头)外缘内缩 | 头发内轮廓线 径向外推成带 | | 截断方式 | 用 baseline 组上半区 upper | 内侧判定 + 下颌 y 截断(不再用 baseline) | diff --git a/face_analysis/hairline_grow.py b/face_analysis/hairline_grow.py index 8764425..0e483b5 100644 --- a/face_analysis/hairline_grow.py +++ b/face_analysis/hairline_grow.py @@ -64,16 +64,14 @@ DEFAULTS = { "gen_backend": "swaphair", # swaphair(换发型LoRA) | hairgrow(区域生发inpaint) "is_hr": False, "seg_model": "segformer", # bisenet | segformer - "mask_type": "eroded", # eroded | closed - "erode_cm": 1.2, + "hairline_push_cm": 1.0, # 发际线径向外推距离(厘米) + "hairline_edge": "column", # column(逐列下沿) "swap_mode": "ext_mask", # ext_mask | as_is(仅 swaphair) "denoising_strength": 0.6, # 仅 swaphair "hairgrow_strength": 0.75, # 仅 hairgrow - "blend_method": "feather", # feather | alpha_gradient | seamless | multiband - "feather_px": 15, "edge_erode_px": 3, - "color_match": False, # True 时对生成图做 Reinhard 颜色校正(seamless 下自动跳过) "mb_levels": 5, # multiband 金字塔层数(2~6,越大色差抹得越宽) + "erode_cm": 0.6, # 接口12 固定值(pushed 模式下仅用于 baseline 截断参考,影响很小) } @@ -662,21 +660,25 @@ def _composite(orig, swap_result, mask_bool, blend_method, feather_px, edge_erod # --------------------------------------------------------------------------- def generate_hairline_grow(image_bgr, hairline_id, is_hr=False, seg_model="segformer", - mask_type="eroded", erode_cm=1.2, swap_mode="ext_mask", - blend_method="feather", feather_px=15, edge_erode_px=3, + erode_cm=0.6, swap_mode="ext_mask", + edge_erode_px=3, denoising_strength=0.6, gen_backend="swaphair", - hairgrow_strength=0.75, color_match=False, mb_levels=5, - hairline_push_cm=0.0, hairline_edge="column", rid=None): + hairgrow_strength=0.75, mb_levels=5, + hairline_push_cm=1.0, hairline_edge="column", rid=None): """接口11 完整管线。返回可直接进 ok() 的 data dict。未检出人脸抛 NoFaceError。 - rid: 调用方的 request id,用于日志关联。为 None 时自动生成。 + 遮罩算法固定为 pushed(发际线外推),融合算法固定为 multiband(多频段金字塔), + 不再支持其他选项。rid: 调用方的 request id,用于日志关联。为 None 时自动生成。 """ + mask_type = "pushed" # 固定:只支持 pushed 遮罩算法 + blend_method = "multiband" # 固定:只支持 multiband 融合 if rid is None: rid = uuid4().hex[:8] logger.info("[%s] ===== generate_hairline_grow 开始 =====", rid) - logger.info("[%s] 参数: mask_type=%r erode_cm=%s blend=%s hairline_push_cm=%s hairline_edge=%r " - "seg=%s gen_backend=%s swap_mode=%s", rid, mask_type, erode_cm, blend_method, - hairline_push_cm, hairline_edge, seg_model, gen_backend, swap_mode) + logger.info("[%s] 参数(固定 mask=pushed blend=multiband): erode_cm=%s hairline_push_cm=%s " + "hairline_edge=%r mb_levels=%s seg=%s gen_backend=%s swap_mode=%s", + rid, erode_cm, hairline_push_cm, hairline_edge, mb_levels, + seg_model, gen_backend, swap_mode) h, w = image_bgr.shape[:2] landmarks = detector.detect(image_bgr) if landmarks is None: @@ -685,7 +687,7 @@ def generate_hairline_grow(image_bgr, hairline_id, is_hr=False, seg_model="segfo px_per_cm = estimate_scale_factor(landmarks, w, h) logger.info("[%s] 人脸检出 px_per_cm=%.3f 图尺寸=%dx%d", rid, px_per_cm, w, h) - # 步骤1:接口9 遮罩 + # 步骤1:接口9 遮罩(固定 pushed) t0 = time.time() mask_bool, mask_viz = compute_mask( image_bgr, landmarks, seg_model, mask_type, erode_cm, px_per_cm, @@ -706,11 +708,11 @@ def generate_hairline_grow(image_bgr, hairline_id, is_hr=False, seg_model="segfo hard_paste = image_bgr.copy() hard_paste[mask_bool] = swap_result[mask_bool] - # 步骤4:接缝融合 + # 步骤4:接缝融合(固定 multiband) t0 = time.time() final, alpha = _composite( - image_bgr, swap_result, mask_bool, blend_method, feather_px, edge_erode_px, - color_match=color_match, mb_levels=mb_levels) + image_bgr, swap_result, mask_bool, blend_method, 0, edge_erode_px, + color_match=False, mb_levels=mb_levels) t_blend = time.time() - t0 data = { @@ -723,9 +725,7 @@ def generate_hairline_grow(image_bgr, hairline_id, is_hr=False, seg_model="segfo "erode_cm": round(float(erode_cm), 2), "swap_mode": swap_mode, "blend_method": blend_method, - "feather_px": int(feather_px), "edge_erode_px": int(edge_erode_px), - "color_match": bool(color_match) and blend_method != "seamless", "mb_levels": int(mb_levels), "hairline_push_cm": round(float(hairline_push_cm), 2), "hairline_edge": hairline_edge, diff --git a/static/test_interface11.html b/static/test_interface11.html index d0dc06f..fb7cc21 100644 --- a/static/test_interface11.html +++ b/static/test_interface11.html @@ -113,32 +113,23 @@
- - -
- -
- +
- - + +
-
- +
+
-
- +
+ - - - - - -
- -
- -
融合前对生成图做 Reinhard 颜色校正(消除整体色差,seamless 自动跳过)
-
- -
- -
- - -
-
- -
- +
@@ -291,9 +259,8 @@ function renderMetrics(d) { { label: 'hairline_id', value: d.hairline_id }, { label: 'swap_mode', value: d.swap_mode }, { label: 'seg_model', value: d.seg_model }, - { label: 'mask_type', value: d.mask_type }, + { label: 'mask', value: d.mask_type }, { label: 'blend', value: d.blend_method }, - { label: 'color_match', value: d.color_match }, { label: 'mb_levels', value: d.mb_levels }, { label: 'hairline_push', value: d.hairline_push_cm + 'cm' }, { label: 'hairline_edge', value: d.hairline_edge }, @@ -317,12 +284,9 @@ function renderResult(d) { $('finalOut').onclick = function(){ zoom(this.src); }; renderMetrics(d); const grid = $('stepsGrid'); grid.innerHTML = ''; - // 按 mask_type 过滤步骤:pushed 只显示 baseline/upper/头发分割/发际线/外推; - // eroded/closed 只显示 baseline/upper/头发分割/填充/闭合,不显示发际线/外推。 - const mt = d.mask_type; - const showKeys = new Set(['baseline_overlay','upper_overlay','hair_seg_overlay','mask_overlay','mask','swap_raw','hard_paste','alpha','final']); - if (mt === 'pushed') { showKeys.add('hairline_overlay'); showKeys.add('pushed_overlay'); } - else { showKeys.add('top_fill_overlay'); showKeys.add('closed_overlay'); } + // 固定 pushed:只展示 pushed 相关步骤(不展示 top_fill/closed) + const showKeys = new Set(['baseline_overlay','upper_overlay','hair_seg_overlay', + 'hairline_overlay','pushed_overlay','mask_overlay','mask','swap_raw','hard_paste','alpha','final']); STEPS.filter(st => showKeys.has(st.key)).forEach(st => grid.appendChild(stepCard(st.title, st.sub, pick(s, st.key)))); } @@ -343,18 +307,13 @@ async function submitTest() { form.append('hairgrow_strength', $('hgStrength').value || '0.75'); form.append('is_hr', $('isHr').checked ? 'true' : 'false'); form.append('seg_model', $('segModel').value); - form.append('mask_type', $('maskType').value); - form.append('erode_cm', $('erodeCm').value || '1.2'); - setStatus('正在请求 mask_type=' + $('maskType').value - + ' hairline_push_cm=' + ($('hairlinePushCm').value||'1.0') + form.append('erode_cm', $('erodeCm').value || '0.6'); + setStatus('正在请求(固定 pushed + multiband) hairline_push_cm=' + ($('hairlinePushCm').value||'1.0') + ' hairline_edge=' + $('hairlineEdge').value + '(换发型走 GPU,约 10~15s)...', 'info'); form.append('swap_mode', $('swapMode').value); - form.append('blend_method', $('blendMethod').value); - form.append('feather_px', $('featherPx').value || '15'); form.append('edge_erode_px', $('edgeErodePx').value || '3'); form.append('denoising_strength', $('denoise').value || '0.6'); - form.append('color_match', $('colorMatch').checked ? 'true' : 'false'); form.append('mb_levels', $('mbLevels').value || '5'); form.append('hairline_push_cm', $('hairlinePushCm').value || '1.0'); form.append('hairline_edge', $('hairlineEdge').value); @@ -397,7 +356,7 @@ function copyJson() { } // ---- 参数持久化 + 联动 ---- -const FIELDS = ['token','genBackend','hairlineId','swapMode','segModel','maskType','erodeCm','blendMethod','featherPx','edgeErodePx','denoise','hgStrength','mbLevels','hairlinePushCm','hairlineEdge']; +const FIELDS = ['token','genBackend','hairlineId','swapMode','segModel','erodeCm','edgeErodePx','denoise','hgStrength','mbLevels','hairlinePushCm','hairlineEdge']; function saveField(id) { try { localStorage.setItem('if11_' + id, $(id).type === 'checkbox' ? ($(id).checked?'1':'0') : $(id).value); } catch(e){} } function linkNumRange(numId, rngId) { const num = $(numId), rng = $(rngId); @@ -419,42 +378,34 @@ document.addEventListener('DOMContentLoaded', () => { }); try { $('isHr').checked = localStorage.getItem('if11_isHr') === '1'; } catch(e){} $('isHr').addEventListener('change', () => saveField('isHr')); - try { $('colorMatch').checked = localStorage.getItem('if11_colorMatch') === '1'; } catch(e){} - $('colorMatch').addEventListener('change', () => saveField('colorMatch')); linkNumRange('erodeCm','erodeRange'); - linkNumRange('featherPx','featherRange'); linkNumRange('edgeErodePx','edgeErodeRange'); linkNumRange('denoise','denoiseRange'); linkNumRange('hgStrength','hgStrengthRange'); linkNumRange('mbLevels','mbLevelsRange'); linkNumRange('hairlinePushCm','hairlinePushRange'); // 初始化滑块值 - $('erodeRange').value = Math.min(3, parseFloat($('erodeCm').value)||1.2); - $('featherRange').value = Math.min(60, parseFloat($('featherPx').value)||15); + $('erodeRange').value = Math.min(3, parseFloat($('erodeCm').value)||0.6); $('edgeErodeRange').value = Math.min(30, parseFloat($('edgeErodePx').value)||3); $('denoiseRange').value = Math.min(1.0, parseFloat($('denoise').value)||0.6); $('hgStrengthRange').value = Math.min(1.0, parseFloat($('hgStrength').value)||0.75); $('mbLevelsRange').value = Math.min(6, Math.max(2, parseFloat($('mbLevels').value)||5)); $('hairlinePushRange').value = Math.min(3, parseFloat($('hairlinePushCm').value)||1.0); - // 参数联动:按 gen_backend / blend_method 显隐无用参数(data-show 声明) + // 参数联动:按 gen_backend 显隐无用参数(data-show 声明,遮罩/融合已固定无选项) function applyVisibility() { - const gen = $('genBackend').value, bm = $('blendMethod').value, mt = $('maskType').value; + const gen = $('genBackend').value; document.querySelectorAll('.pf[data-show]').forEach(el => { const conds = el.dataset.show.split(',').map(s => s.trim()); let vis = true; conds.forEach(c => { const [k, v] = c.split(':'); if (k === 'gen' && v !== gen) vis = false; - if (k === 'blend' && v !== bm) vis = false; - if (k === 'mask' && v !== mt) vis = false; }); el.style.display = vis ? '' : 'none'; }); } $('genBackend').addEventListener('change', applyVisibility); - $('blendMethod').addEventListener('change', applyVisibility); - $('maskType').addEventListener('change', applyVisibility); applyVisibility(); }); diff --git a/static/test_interface11_debug.html b/static/test_interface11_debug.html index 3057204..8e21b48 100644 --- a/static/test_interface11_debug.html +++ b/static/test_interface11_debug.html @@ -55,7 +55,7 @@

接口11 调试页 (带前后端日志)

独立调试页,每一步都记录日志。提交后展开"前端日志"和"后端日志",点按钮可下载。
- 重点排查:mask_type 是否真的传成 pushed、①-f/①-g 是否有图、最终遮罩是否走了新算法。 + 重点排查:遮罩是否走 pushed、①-f/①-g 是否有图、最终遮罩是否正确。遮罩固定 pushed、融合固定 multiband。
@@ -68,14 +68,6 @@
-
- - -
- -
+ +
-
- +
+
-
- +
+
- - + +
+
+
+ +
+
遮罩算法固定 pushed、融合固定 multiband,无需选择。
@@ -202,19 +194,17 @@ function stepCard(title, sub, src) { } function renderResult(d) { - flog('renderResult 开始,mask_type=' + d.mask_type, 'info'); + flog('renderResult 开始(固定 pushed + multiband)', 'info'); const s = d.steps || {}; $('finalInput').src = pick(s, 'input') || ''; $('finalInput').onclick = function(){ zoom(this.src); }; $('finalOut').src = pick(s, 'final') || ''; $('finalOut').onclick = function(){ zoom(this.src); }; const grid = $('stepsGrid'); grid.innerHTML = ''; - // 按 mask_type 过滤步骤 - const mt = d.mask_type; - const showKeys = new Set(['baseline_overlay','upper_overlay','hair_seg_overlay','mask_overlay','mask','swap_raw','hard_paste','alpha','final']); - if (mt === 'pushed') { showKeys.add('hairline_overlay'); showKeys.add('pushed_overlay'); } - else { showKeys.add('top_fill_overlay'); showKeys.add('closed_overlay'); } - $('stepsInfo').textContent = '(mask_type=' + mt + ',按此过滤步骤)'; + // 固定 pushed:只展示 pushed 相关步骤(不展示 top_fill/closed) + const showKeys = new Set(['baseline_overlay','upper_overlay','hair_seg_overlay', + 'hairline_overlay','pushed_overlay','mask_overlay','mask','swap_raw','hard_paste','alpha','final']); + $('stepsInfo').textContent = '(固定 pushed + multiband)'; STEPS.filter(st => showKeys.has(st.key)).forEach(st => { const src = pick(s, st.key); const hasImg = src && src.length > 50; @@ -229,16 +219,15 @@ async function submitTest() { if (!file) { setStatus('请先选择图片', 'error'); return; } flog('===== 提交测试 =====', 'info'); // 记录前端实际读取的每个参数值(关键诊断) - const mt = $('maskType').value; - flog('前端读取 mask_type=' + mt, 'info'); flog('前端读取 hairline_push_cm=' + ($('hairlinePushCm').value || '(默认)'), 'info'); flog('前端读取 hairline_edge=' + ($('hairlineEdge').value || '(默认)'), 'info'); flog('前端读取 hairline_id=' + $('hairlineId').value, 'info'); flog('前端读取 seg_model=' + $('segModel').value, 'info'); + flog('前端读取 mb_levels=' + ($('mbLevels').value || '(默认)'), 'info'); const btn = $('submitBtn'); btn.disabled = true; btn.textContent = '⏳ 请求中...'; - setStatus('正在请求 mask_type=' + mt + ' ...', 'info'); + setStatus('正在请求(固定 pushed + multiband)...', 'info'); $('resultsArea').classList.remove('hidden'); const form = new FormData(); @@ -248,15 +237,11 @@ async function submitTest() { form.append('hairgrow_strength', '0.75'); form.append('is_hr', 'false'); form.append('seg_model', $('segModel').value); - form.append('mask_type', mt); - form.append('erode_cm', $('erodeCm').value || '1.2'); + form.append('erode_cm', $('erodeCm').value || '0.6'); form.append('swap_mode', 'ext_mask'); - form.append('blend_method', $('blendMethod').value); - form.append('feather_px', '15'); - form.append('edge_erode_px', '3'); + form.append('edge_erode_px', $('edgeErodePx').value || '3'); form.append('denoising_strength', '0.6'); - form.append('color_match', 'false'); - form.append('mb_levels', '5'); + form.append('mb_levels', $('mbLevels').value || '5'); form.append('hairline_push_cm', $('hairlinePushCm').value || '1.0'); form.append('hairline_edge', $('hairlineEdge').value); @@ -279,7 +264,7 @@ async function submitTest() { if (json.code === 0) { const d = json.data; - flog('后端返回 mask_type=' + d.mask_type + ' mask_pixels=' + d.mask_pixels, 'info'); + flog('后端返回 mask_type=' + d.mask_type + ' blend=' + d.blend_method + ' mask_pixels=' + d.mask_pixels, 'info'); flog('后端返回 hairline_push_cm=' + d.hairline_push_cm + ' hairline_edge=' + d.hairline_edge, 'info'); flog('后端 _rid=' + d._rid, 'info'); // 详细记录 steps 每个字段长度 @@ -327,20 +312,11 @@ async function downloadBackendLog() { } } -// 参数联动 -function applyVisibility() { - const mt = $('maskType').value; - document.querySelectorAll('.pf[data-show]').forEach(el => { - const [k, v] = el.dataset.show.split(':'); - el.style.display = (k === 'mask' && v === mt) ? '' : 'none'; - }); -} -$('maskType').addEventListener('change', function(){ flog('mask_type 切换为: ' + this.value, 'info'); applyVisibility(); }); +// 参数联动(遮罩/融合已固定,无下拉联动) $('imageFile').addEventListener('change', function(){ if(this.files.length) flog('选择图片: ' + this.files[0].name, 'info'); }); flog('调试页加载完成', 'info'); -flog('请选择图片,mask_type 切到 pushed,然后点提交', 'info'); -applyVisibility(); +flog('遮罩固定 pushed、融合固定 multiband,选好图片直接提交', 'info');