実現したいこと
ここに実現したいことを箇条書きで書いてください。
FGOのクエスト自動化
前提
ここに質問の内容を詳しく書いてください。
（例）
Pythonとabcコマンドを使ってFGOのクエストを自動化したいです。
■■な機能を実装中に以下のエラーメッセージが発生しました。
発生している問題・エラーメッセージ
エラーメッセージ
[{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""cv2" is not defined",
"source": "Pylance",
"startLineNumber": 7,
"startColumn": 12,
"endLineNumber": 7,
"endColumn": 15
},{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""capture_screen_2" is not defined",
"source": "Pylance",
"startLineNumber": 10,
"startColumn": 11,
"endLineNumber": 10,
"endColumn": 27
},{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""device_id" is not defined",
"source": "Pylance",
"startLineNumber": 10,
"startColumn": 28,
"endLineNumber": 10,
"endColumn": 37
},{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""cv2" is not defined",
"source": "Pylance",
"startLineNumber": 13,
"startColumn": 5,
"endLineNumber": 13,
"endColumn": 8
},{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""cv2" is not defined",
"source": "Pylance",
"startLineNumber": 23,
"startColumn": 14,
"endLineNumber": 23,
"endColumn": 17
},{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""cv2" is not defined",
"source": "Pylance",
"startLineNumber": 23,
"startColumn": 43,
"endLineNumber": 23,
"endColumn": 46
},{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""cv2" is not defined",
"source": "Pylance",
"startLineNumber": 25,
"startColumn": 38,
"endLineNumber": 25,
"endColumn": 41
},{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""cv2" is not defined",
"source": "Pylance",
"startLineNumber": 41,
"startColumn": 19,
"endLineNumber": 41,
"endColumn": 22
},{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""cv2" is not defined",
"source": "Pylance",
"startLineNumber": 42,
"startColumn": 5,
"endLineNumber": 42,
"endColumn": 8
},{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""cv2" is not defined",
"source": "Pylance",
"startLineNumber": 43,
"startColumn": 5,
"endLineNumber": 43,
"endColumn": 8
},{
"resource": "/C:/Users/ysuga/Desktop/Auto FGO.py",
"owner": "generated_diagnostic_collection_name#0",
"code": {
"value": "reportUndefinedVariable",
"target": {
"$mid": 1,
"path": "/microsoft/pyright/blob/main/docs/configuration.md",
"scheme": "https",
"authority": "github.com",
"fragment": "reportUndefinedVariable"
}
},
"severity": 4,
"message": ""np" is not defined",
"source": "Pylance",
"startLineNumber": 53,
"startColumn": 16,
"endLineNumber": 53,
"endColumn": 18
}]
該当のソースコード
ソースコード
Python
def _click_image3_vis(temp_path):
############################################################### # 画像取得 # # テンプレート画像の読み込み temp = cv2.imread(temp_path) # # スマホのキャプチャ画像 img = capture_screen_2(device_id) # # デバッグ用に一応保存 cv2.imwrite('_screen.png', img) ############################################################### # デバッグ用 # # img = cv2.imread('_screen.png') # temp_path = r'img\fgo\arts.png' # temp = cv2.imread(temp_path) # cv2.imwrite('_screen.png', img) result = cv2.matchTemplate(img, temp, cv2.TM_CCOEFF_NORMED) # 最も類似度が高い位置を取得する。 minVal, maxVal, minLoc, maxLoc = cv2.minMaxLoc(result) # print(f"max value: {maxVal}, position: {maxLoc}, temp_path: {temp_path}") # print("max value:{:6.3f}, position:{:<10}, temp_path:{}".format(maxVal, maxLoc, temp_path)) print("max value:{:6.3f}, position:{:>16}, temp_path:{}".format(maxVal, "{}".format(maxLoc), temp_path)) ############################################################### # 確認用描画セクション # # 読み込んだ画像の高さと幅を取得 kenel_size = 201 height = img.shape[0] width = img.shape[1] # # ============================================================= # show resized base image resized_img = cv2.resize(img,(int(width/2), int(height/2))) cv2.imshow("image", resized_img) cv2.moveWindow("image", 0, 0) # # ============================================================= # show heat map & roi # # create heat map # # 0.5 以下は無視 result[result<0.5] = 0 # 3 channel heat_map heat_map = np.zeros((img.shape[0], img.shape[1], 3)) # result to heatmap heat_map[0:-temp.shape[0]+1, 0:-temp.shape[1]+1, 2] = result # heatmap GaussianBlur heat_map_blur = cv2.GaussianBlur(heat_map,(kenel_size, kenel_size),0) result2 = heat_map[:, :, 2] # # create gray image resized_img_gray = resized_img.copy() img_gray = cv2.cvtColor(resized_img, cv2.COLOR_BGR2GRAY) # RGB2〜 でなく BGR2〜 を指定 for i in range(3): resized_img_gray[:, :, i] = img_gray # temp image show cv2.imshow("temp", temp) cv2.moveWindow("temp", int(resized_img.shape[1]), 0) # resized heat_map resized_heat_map = cv2.resize(heat_map_blur,(int(width/2), int(height/2))) * 255 # resized heat_map xheat = (resized_heat_map *255 * 0.6 + resized_img_gray * 0.4)/255 # detect peak coordinates = peak_local_max(resized_heat_map[:, :, 2], min_distance=2) # draw rectangle color_ = np.array([102, 51, 255])/255 # RGB -> GBR for p in coordinates: cv2.rectangle(xheat, (p[1]+int(temp.shape[1]/2), p[0]+int(temp.shape[0]/2)), (p[1], p[0]), color_, thickness=1) # show heat map cv2.imshow("heat", xheat) cv2.moveWindow("heat", 0, int(resized_img.shape[0] + 50)) k = cv2.waitKey(1)
試したこと
https://qiita.com/m_tani_july/items/98bddff824cecbf8a395
このサイトでみた通りにやった。
ここに問題に対して試したことを記載してください。
補足情報（FW/ツールのバージョンなど）
ここにより詳細な情報を記載してください。
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