diff --git a/zsim/config_example.json b/zsim/config_example.json
index df4c39ba..341bbb5b 100644
--- a/zsim/config_example.json
+++ b/zsim/config_example.json
@@ -51,7 +51,9 @@
"JUDGE_FILE_PATH": "./zsim/data/\u89e6\u53d1\u5224\u65ad.csv",
"EFFECT_FILE_PATH": "./zsim/data/buff_effect.csv",
"EXIST_FILE_PATH": "./zsim/data/\u6fc0\u6d3b\u5224\u65ad.csv",
- "APL_FILE_PATH": "./zsim/data/APLData/\u8587\u8587\u5b89-\u67f3-\u8000\u5609\u97f3.toml"
+ "APL_FILE_PATH": "./zsim/data/APLData/\u8587\u8587\u5b89-\u67f3-\u8000\u5609\u97f3.toml",
+ "CHARACTER_IMAGE_PATH": "./zsim/data/character_img",
+ "STAR_IMAGE_PATH": "./zsim/data/star_img"
},
"translate": {
"id": "skill_tag",
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diff --git a/zsim/data/character_img/4k/6121.png b/zsim/data/character_img/4k/6121.png
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diff --git a/zsim/data/cut_char_img.py b/zsim/data/cut_char_img.py
new file mode 100644
index 00000000..32cfae30
--- /dev/null
+++ b/zsim/data/cut_char_img.py
@@ -0,0 +1,30 @@
+import os
+import cv2
+import mss
+import numpy as np
+
+
+CHARACTER_IMAGE_PATH = "./zsim/data/character_img"
+
+
+with mss.mss() as sct:
+ # Take a screenshot during fullscreen gaming on a *4K* monitor
+ # left, top = 1875, 375
+ # right, bottom = 1929, 429
+
+ # Take a screenshot during fullscreen gaming on a *2K* monitor
+ # left, top = 1250, 249
+ # right, bottom = 1286, 285
+
+ # Take a screenshot during fullscreen gaming on a *1K* monitor
+ left, top = 937, 187
+ right, bottom = 965, 215
+
+ width = right - left + 1
+ height = bottom - top + 1
+
+ monitor = {"left": left, "top": top, "width": width, "height": height}
+ img = np.array(sct.grab(monitor))[:, :, :3]
+
+ ch_id = "1041"
+ cv2.imwrite(os.path.join(CHARACTER_IMAGE_PATH, "1k", ch_id + ".png"), img)
diff --git a/zsim/data/star_img/1k/1.png b/zsim/data/star_img/1k/1.png
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index 00000000..6ddf3433
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diff --git a/zsim/data/star_img/1k/2.png b/zsim/data/star_img/1k/2.png
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index 00000000..171741d9
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diff --git a/zsim/data/star_img/1k/3.png b/zsim/data/star_img/1k/3.png
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index 00000000..4b6226d6
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diff --git a/zsim/data/star_img/1k/4.png b/zsim/data/star_img/1k/4.png
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index 00000000..d07efe33
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diff --git a/zsim/data/star_img/1k/5.png b/zsim/data/star_img/1k/5.png
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diff --git a/zsim/data/star_img/2k/1.png b/zsim/data/star_img/2k/1.png
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diff --git a/zsim/data/star_img/4k/1.png b/zsim/data/star_img/4k/1.png
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index 00000000..83179f7d
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diff --git a/zsim/data/star_img/4k/2.png b/zsim/data/star_img/4k/2.png
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diff --git a/zsim/data/star_img/4k/3.png b/zsim/data/star_img/4k/3.png
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index 00000000..cd7ff355
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diff --git a/zsim/data/star_img/4k/4.png b/zsim/data/star_img/4k/4.png
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index 00000000..5a39d7fc
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diff --git a/zsim/define.py b/zsim/define.py
index d11715a5..6fcafdd7 100644
--- a/zsim/define.py
+++ b/zsim/define.py
@@ -130,6 +130,8 @@ def update_json_config(template: dict, user: dict) -> bool:
ENEMY_DATA_PATH: str = _config["database"]["ENEMY_DATA_PATH"]
ENEMY_ADJUSTMENT_PATH: str = _config["database"]["ENEMY_ADJUSTMENT_PATH"]
DEFAULT_SKILL_PATH: str = _config["database"]["DEFAULT_SKILL_PATH"]
+CHARACTER_IMAGE_PATH: str = _config["database"]["CHARACTER_IMAGE_PATH"]
+STAR_IMAGE_PATH: str = _config["database"]["STAR_IMAGE_PATH"]
CRIT_BALANCING: bool = _config["character"]["crit_balancing"]
BACK_ATTACK_RATE: bool = _config["character"]["back_attack_rate"]
# FIXME：背击暂时用几率控制。
diff --git a/zsim/page_recognize_equip.py b/zsim/page_recognize_equip.py
new file mode 100644
index 00000000..ccce095a
--- /dev/null
+++ b/zsim/page_recognize_equip.py
@@ -0,0 +1,328 @@
+import os
+import re
+import mss
+import difflib
+import streamlit as st
+
+from zsim.define import EQUIP_2PC_DATA_PATH, CHARACTER_IMAGE_PATH, WEAPON_DATA_PATH, STAR_IMAGE_PATH
+
+
+ch2equips = {}
+
+if "running" not in st.session_state:
+ st.session_state.running = False
+
+st.title("装备识别")
+st.markdown("打开角色-装备页面，点击驱动盘或音擎即可识别（装备要带在角色身上）
", unsafe_allow_html=True)
+
+with mss.mss() as sct:
+ monitor_infos = [f"{i}: {m['width']}x{m['height']} ({m['left']},{m['top']})"
+ for i, m in enumerate(sct.monitors[1:], 1)]
+ monitor_index = st.selectbox(
+ "请选择要识别的屏幕",
+ list(range(1, len(sct.monitors))),
+ format_func=lambda i: monitor_infos[i-1],
+ key="monitor_select"
+ )
+
+def fuzzy_match(raw_name: str, name_list: list, min_same: int = 2):
+ if raw_name in name_list:
+ return raw_name
+
+ candidates = []
+ for e in name_list:
+ if len(e) != len(raw_name):
+ continue
+ match_found = any(a == b and a != '%' for a, b in zip(e, raw_name))
+ if len(e) == len(raw_name) and len(set(e) & set(raw_name)) >= min_same and match_found:
+ candidates.append(e)
+
+ best_name = None
+ best_ratio = None
+
+ for e in candidates:
+ ratio = difflib.SequenceMatcher(None, e, raw_name).ratio()
+ if best_name is None or ratio > best_ratio:
+ best_name = e
+ best_ratio = ratio
+
+ return best_name
+
+def initialization():
+ with st.spinner("正在初始化，请稍候..."):
+ import polars as pl
+ from cnocr import CnOcr
+
+ ocr = CnOcr()
+ df = pl.read_csv(EQUIP_2PC_DATA_PATH)
+ equip_list = df.select(colname = df.columns[0]).to_series().to_list()[1:]
+ df = pl.read_csv(WEAPON_DATA_PATH)
+ weapon_list = df.select(colname = df.columns[0]).to_series().to_list()[1:]
+ weapon_list = [w for w in weapon_list if re.fullmatch(r'[\u4e00-\u9fa5]+', str(w))]
+
+ with mss.mss() as sct:
+ monitor = sct.monitors[monitor_index]
+ (current_w, current_h) = (monitor['width'], monitor['height'])
+ if (current_w, current_h) == (3840, 2160):
+ suffix = "4k"
+ recog_head_scale = 0.2
+ recog_words_scale = 0.3
+ elif (current_w, current_h) == (2560, 1440):
+ suffix = "2k"
+ recog_head_scale = 1
+ recog_words_scale = 0.5
+ elif (current_w, current_h) == (1920, 1080):
+ suffix = "1k"
+ recog_head_scale = 1
+ recog_words_scale = 0.5
+ else:
+ raise ValueError(f"当前分辨率 {current_w}x{current_h} 不支持。仅支持 3840x2160, 2560x1440, 1920x1080。")
+
+ char_img_list = [os.path.join(CHARACTER_IMAGE_PATH, suffix, f) for f in os.listdir(os.path.join(CHARACTER_IMAGE_PATH, suffix)) if f.lower().endswith('.png')]
+ star_img_list = [os.path.join(STAR_IMAGE_PATH, suffix, f) for f in os.listdir(os.path.join(STAR_IMAGE_PATH, suffix)) if f.lower().endswith('.png')]
+ equip_name_and_loc_pattern = re.compile(r"^([\u4e00-\u9fa5]+).*?(\d)")
+ sub_attr_name_and_num_pattern = re.compile(r"^([\u4e00-\u9fa5]+).*?(\d+)?$")
+ sub_attr_value_pattern = re.compile(r"^([1-9]\d*(?:\.\d)?%?)$")
+
+ sub_attr_dict = {
+ "攻击力": 19,
+ "防御力": 15,
+ "生命值": 112,
+ "攻击力%": 3,
+ "防御力%": 4.8,
+ "生命值%": 3,
+ "穿透值": 9,
+ "穿透率%": (6, 1.2),
+ "暴击率%": 2.4,
+ "暴击伤害%": 4.8,
+ "异常精通": 9,
+ "异常掌控%": (7.5, 1.5),
+ "冲击力%": (4.5, 0.9),
+ "能量自动回复%": (15, 3),
+ "物理伤害加成%": (7.5, 1.5),
+ "火属性伤害加成%": (7.5, 1.5),
+ "冰属性伤害加成%": (7.5, 1.5),
+ "电属性伤害加成%": (7.5, 1.5),
+ "以太伤害加成%": (7.5, 1.5),
+ }
+
+ # 存入 session_state
+ st.session_state.ocr = ocr
+ st.session_state.monitor = monitor
+ st.session_state.equip_list = equip_list
+ st.session_state.recog_head_scale = recog_head_scale
+ st.session_state.recog_words_scale = recog_words_scale
+ st.session_state.char_img_list = char_img_list
+ st.session_state.star_img_list = star_img_list
+ st.session_state.equip_name_and_loc_pattern = equip_name_and_loc_pattern
+ st.session_state.sub_attr_name_and_num_pattern = sub_attr_name_and_num_pattern
+ st.session_state.sub_attr_value_pattern = sub_attr_value_pattern
+ st.session_state.sub_attr_dict = sub_attr_dict
+ st.session_state.weapon_list = weapon_list
+
+def loop_function():
+ placeholder = st.empty()
+ import cv2
+ import numpy as np
+ with mss.mss() as sct:
+ while st.session_state.running:
+ try:
+ original_img = np.array(sct.grab(st.session_state.monitor))[:, :, :3]
+ h, w = original_img.shape[:2]
+ y1 = 0
+ y2 = h // 3
+ x1 = w // 3
+ x2 = 2 * w // 3
+ img = original_img[y1:y2, x1:x2]
+ img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+ img = cv2.resize(img, (0, 0), fx=st.session_state.recog_head_scale, fy=st.session_state.recog_head_scale)
+ ch2sim = {}
+ for template_path in st.session_state.char_img_list:
+ template = cv2.imread(template_path, 0)
+ template = cv2.resize(template, (0, 0), fx=st.session_state.recog_head_scale, fy=st.session_state.recog_head_scale)
+ character_id = os.path.splitext(os.path.basename(template_path))[0]
+ res = cv2.matchTemplate(img, template, cv2.TM_CCOEFF_NORMED)
+ score = res.max()
+ ch2sim[character_id] = score
+
+ ch_id = max(ch2sim, key=ch2sim.get)
+ max_score = ch2sim[ch_id]
+ ch_id = ch_id.split('_')[0]
+
+ if max_score >= 0.9:
+ H, W = original_img.shape[:2]
+ x1 = int(W * 1200 / 3840)
+ x2 = int(W * 1960 / 3840)
+ y1 = int(H * 200 / 2160)
+ y2 = int(H * 1200 / 2160)
+ img = original_img[y1:y2, x1:x2]
+ img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+ img = cv2.resize(
+ img,
+ (0, 0),
+ fx=st.session_state.recog_words_scale,
+ fy=st.session_state.recog_words_scale
+ )
+ result = st.session_state.ocr.ocr(img)
+
+ main_attr = level = equip_name = equip_loc = None
+ sub_attr = []
+ weapon_name = weapon_star = None
+
+ for idx, line in enumerate(result):
+ text = line['text'].strip()
+
+ match = st.session_state.equip_name_and_loc_pattern.match(text)
+ if match:
+ chs = fuzzy_match(match.group(1), st.session_state.equip_list, min_same=2)
+ digit = int(match.group(2))
+ if chs is not None and 1 <= digit <= 6:
+ equip_name = chs
+ equip_loc = digit
+ continue
+
+ try_match = []
+ if idx + 1 < len(result):
+ try_match.append((st.session_state.sub_attr_name_and_num_pattern.match(text),
+ st.session_state.sub_attr_value_pattern.match(result[idx+1]['text'].strip())))
+ if idx + 2 < len(result) and len(result[idx+1]['text'].strip()) == 2:
+ try_match.append((st.session_state.sub_attr_name_and_num_pattern.match(text+result[idx+1]['text'].strip()),
+ st.session_state.sub_attr_value_pattern.match(result[idx+2]['text'].strip())))
+
+ for match1, match2 in try_match:
+ if not match1 or not match2:
+ continue
+ chs = match1.group(1)
+ digit = int(match1.group(2)) if match1.group(2) is not None else 0
+ value = match2.group(1)
+
+ chs = fuzzy_match(chs if value[-1] != "%" else (chs + "%"), st.session_state.sub_attr_dict.keys(), min_same=1)
+ value = float(value if value[-1] != "%" else value[:-1])
+
+ if chs is None:
+ break
+
+ if 0 <= digit <= 5 and value > 0:
+ if isinstance(st.session_state.sub_attr_dict[chs], (int, float)) and abs(value - st.session_state.sub_attr_dict[chs] * (digit + 1)) < 1e-4:
+ sub_attr.append((chs, digit + 1, value))
+ break
+ elif digit == 0 and not main_attr:
+ if (equip_loc, chs) == (1, "生命值"):
+ level = (value - 550.0) / 110.0
+ elif (equip_loc, chs) == (2, "攻击力"):
+ level_5 = (value - 79.0) // 79.0
+ cache = (value - 79.0) % 79.0
+ if cache > 0.0:
+ level_1 = (cache + 1) / 16.0
+ level = level_5 * 5 + level_1
+ else:
+ level = level_5 * 5
+ elif (equip_loc, chs) == (3, "防御力"):
+ level_5 = (value - 46.0) // 46.0
+ level_1 = ((value - 46.0) % 46.0) / 9.0
+ level = level_5 * 5 + level_1
+ elif equip_loc in [4, 5, 6] and chs in ["生命值%", "攻击力%", "防御力%"]:
+ if chs == "防御力%":
+ level = (value - 12.0) / 2.4
+ else:
+ level = (value - 7.5) / 1.5
+ elif isinstance(st.session_state.sub_attr_dict[chs], (tuple)) and equip_loc in [5, 6]:
+ level = (value - st.session_state.sub_attr_dict[chs][0]) / st.session_state.sub_attr_dict[chs][1]
+ elif equip_loc == 4:
+ if chs == "暴击率%":
+ level = (value - 6.0) / 1.2
+ elif chs == "暴击伤害%":
+ level = (value - 12.0) / 2.4
+ elif chs == "异常精通":
+ level_5 = (value - 23.0) // 23.0
+ cache = (value - 23.0) % 23.0
+ level_2 = cache // 9.0
+ cache = cache % 9.0
+ level_1 = cache / 4.0
+ level = level_5 * 5 + level_2 * 2 + level_1
+
+ if level is not None:
+ main_attr = (chs, value)
+
+ if len(re.findall(r'[\u4e00-\u9fa5]', text)) >= 2:
+ if weapon_name is None or weapon_star is None:
+ weapon_name = fuzzy_match(text, st.session_state.weapon_list, min_same=2)
+
+ if weapon_name is not None:
+ star2sim = {}
+ for template_path in st.session_state.star_img_list:
+ template = cv2.imread(template_path, 0)
+ template = cv2.resize(template, (0, 0), fx=st.session_state.recog_words_scale, fy=st.session_state.recog_words_scale)
+ star = os.path.splitext(os.path.basename(template_path))[0]
+ res = cv2.matchTemplate(img, template, cv2.TM_CCOEFF_NORMED)
+ score = res.max()
+ star2sim[star] = score
+ weapon_star = int(max(star2sim, key=star2sim.get))
+
+ sub_attr = list(set(sub_attr))
+ if (
+ equip_name in st.session_state.equip_list
+ and level is not None
+ and level.is_integer()
+ and 0 <= int(level) <= 15
+ and (
+ len(sub_attr) == 4
+ or (len(sub_attr) == 3 and 0 <= int(level) <= 2)
+ )
+ and main_attr
+ ):
+ ch2equips[(int(ch_id), int(equip_loc))] = (equip_name, int(level), main_attr, sub_attr)
+
+ if weapon_name is not None and weapon_star is not None:
+ ch2equips[(int(ch_id), 0)] = (weapon_name, weapon_star)
+
+ except Exception as e:
+ print("Error occurred: ", e)
+
+ with placeholder.container():
+ if ch2equips:
+ lines = []
+ for k, v in ch2equips.items():
+ if k[1] == 0:
+ line = f"""
+
+ 角色/位置: {k}
+ 武器: {v[0]}
+ 星级: {v[1]}
+
+ """
+ else:
+ line = f"""
+
+ 角色/位置: {k}
+ 装备: {v[0]} (Lv.{v[1]})
+ 主词条: {v[2][0]}: {v[2][1]}
+ 副词条: {'，'.join([f"{x[0]}({x[1]}):{x[2]}" for x in v[3]])}
+
+ """
+ lines.append(line)
+ st.markdown('\n'.join(lines), unsafe_allow_html=True)
+ else:
+ st.info("暂无装备识别结果")
+
+def page_loop_task():
+ col_start, col_stop = st.columns(2)
+
+ with col_start:
+ if st.button("开始"):
+ st.session_state.running = True
+
+ if not all(x in st.session_state for x in [
+ "ocr", "monitor", "equip_list", "recog_head_scale", "recog_words_scale",
+ "char_img_list", "equip_name_and_loc_pattern", "sub_attr_name_and_num_pattern",
+ "sub_attr_value_pattern", "sub_attr_dict", "weapon_list"
+ ]):
+ initialization()
+ loop_function()
+
+ with col_stop:
+ if st.button("停止"):
+ st.session_state.running = False
+ st.success("任务已停止")
+
+page_loop_task()
diff --git a/zsim/webui.py b/zsim/webui.py
index 90cd4393..1d9c2da7 100644
--- a/zsim/webui.py
+++ b/zsim/webui.py
@@ -9,6 +9,7 @@
st.Page("page_simulator.py", title="模拟器"),
st.Page("page_data_analysis.py", title="数据分析"),
st.Page("page_apl_editor.py", title="APL编辑器"),
+ st.Page("page_recognize_equip.py", title="识别装备"),
],
"文档": [
st.Page("lib_webui/doc_pages/page_char_support.py", title="角色支持列表"),