# 纪念相册 **Repository Path**: NICEKIKI/souvenir_album ## Basic Information - **Project Name**: 纪念相册 - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2019-12-10 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 毕业纪念相册 ### PRD 价值主张设计 #### PRD1.加值宣言 * 毕业纪念册设计制作的意义在于，一本毕业纪念册它是记录着学生们在校园成长、生活的历程，是小到幼儿园，大到大学、研究生，甚至是博士毕业，中间还有小学、初中、高中年级，所有这些学年的同学们，在校园的学习与成长的记忆，汇聚成一本完整的回忆，回忆上面是照片与文字的组合，是我们的学生、同学们在校园内、在校园外的各种学习、活动照片，以及各种抒情文字、寄语内容，来解释当时的画面、发生的事情与当时的心情等。 * 也许，我们再毕业之初，并不懂得毕业纪念册设计有什么作用，只是觉得好看或者想念时可以翻翻看看，可能会觉得是可有可无的东西。这是因为，我们的阅历尚浅。待到步入社会、步入中年之后，当一些温饱问题都得到解决之后，人脉、社交、同学、校友的情感等问题，则会一一迎面而来。这时候，我们再回头看看，也许就会想到当初为何不做一本毕业纪念册，记录下当年，还青春年少，也许还青涩的我们，以至于留下终生遗憾。当人步入老年之后，平时闲来无事，想要回忆往昔清楚年少时的我们，却已经找不到回忆的那些片段、线索了。而一本毕业纪念册的存在，就是这些回忆、片段的载体，我们手捧着一本毕业纪念册的时候，每一个画面，历历在目。 #### PRD2.核心价值宣言 一个好的纪念册app，是需要有思路的的，对根据时间线索，一一排版，一个个画面通过设计排版，做出完美的每一个页面，帮助用户记住所有的美好。 #### PRD3.用户痛点 3% 用户痛点宣言： * 想要把美好的回忆都保存下来，但是又不想发朋友圈发微博，被观摩，只想有在相册里的人看。 * 相册要有留言功能，每次回来回忆时，用户新填新的留言 * 虽然相片有时间记录，但是没有app能帮忙做出时间轴。 #### PRD4.人工智能概率性 AI概率性考量： * api无法调用的风险，key使用次数的限制，无法使用产品api * api出现错误的风险 * 用户上传错误数据，导致api分析结果不显示的风险。 #### PRD5.需求列表 需求列表： |趣味性|有一点点好玩| #### 原型4口头操作说明 口头操作说明： #### API1.使用水平 5% * Azure人脸识别API输入： ``` -*- coding: utf-8 -*- import urllib.request import urllib.error import time http_url = '[https://api-cn.faceplusplus.com/facepp/v3/detect](https://api-cn.faceplusplus.com/facepp/v3/detect)' key = "jZcg7VD0avxBw4dtyZGfV2a18ALqjWkA" secret = "0Wih6rArIYUyR6BvliKS4ImvW8mTWmfy" filepath = r"C:\Users\DELL\Desktop\timg.jpg" boundary = '----------%s' % hex(int(time.time() * 1000)) data = [] data.append('--%s' % boundary) data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_key') data.append(key) data.append('--%s' % boundary) data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_secret') data.append(secret) data.append('--%s' % boundary) fr = open(filepath, 'rb') data.append('Content-Disposition: form-data; name="%s"; filename=" "' % 'image_file') data.append('Content-Type: %s\r\n' % 'application/octet-stream') data.append(fr.read()) fr.close() data.append('--%s' % boundary) data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_landmark') data.append('1') data.append('--%s' % boundary) data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_attributes') data.append( "gender,age,smiling,headpose,facequality,blur,eyestatus,emotion,ethnicity,beauty,mouthstatus,eyegaze,skinstatus") data.append('--%s--\r\n' % boundary) for i, d in enumerate(data): if isinstance(d, str): data[i] = d.encode('utf-8') http_body = b'\r\n'.join(data) # build http request req = urllib.request.Request(url=http_url, data=http_body) # header req.add_header('Content-Type', 'multipart/form-data; boundary=%s' % boundary) try: # post data to server resp = urllib.request.urlopen(req, timeout=5) # get response qrcont = resp.read() # if you want to load as json, you should decode first, # for example: json.loads(qrount.decode('utf-8')) print(qrcont.decode('utf-8')) except urllib.error.HTTPError as e: print(e.read().decode('utf-8')) ``` * API的输出 ``` {"time_used": 368, "faces": [{"landmark": {"mouth_upper_lip_left_contour2": {"y": 391, "x": 435}, "mouth_upper_lip_top": {"y": 392, "x": 457}, "mouth_upper_lip_left_contour1": {"y": 389, "x": 448}, "left_eye_upper_left_quarter": {"y": 283, "x": 400}, "left_eyebrow_lower_middle": {"y": 266, "x": 405}, "mouth_upper_lip_left_contour3": {"y": 398, "x": 440}, "right_eye_top": {"y": 282, "x": 515}, "left_eye_bottom": {"y": 301, "x": 410}, "right_eyebrow_lower_left_quarter": {"y": 271, "x": 505}, "right_eye_pupil": {"y": 291, "x": 513}, "mouth_lower_lip_right_contour1": {"y": 400, "x": 477}, "mouth_lower_lip_right_contour3": {"y": 415, "x": 475}, "mouth_lower_lip_right_contour2": {"y": 406, "x": 487}, "contour_chin": {"y": 451, "x": 461}, "contour_left9": {"y": 445, "x": 436}, "left_eye_lower_right_quarter": {"y": 300, "x": 423}, "mouth_lower_lip_top": {"y": 402, "x": 458}, "right_eyebrow_upper_middle": {"y": 255, "x": 522}, "left_eyebrow_left_corner": {"y": 265, "x": 366}, "right_eye_bottom": {"y": 302, "x": 517}, "contour_left7": {"y": 413, "x": 400}, "contour_left6": {"y": 396, "x": 386}, "contour_left5": {"y": 376, "x": 375}, "contour_left4": {"y": 355, "x": 367}, "contour_left3": {"y": 333, "x": 361}, "contour_left2": {"y": 311, "x": 357}, "contour_left1": {"y": 288, "x": 355}, "left_eye_lower_left_quarter": {"y": 297, "x": 398}, "contour_right1": {"y": 292, "x": 566}, "contour_right3": {"y": 336, "x": 558}, "contour_right2": {"y": 314, "x": 563}, "mouth_left_corner": {"y": 392, "x": 422}, "contour_right4": {"y": 357, "x": 551}, "contour_right7": {"y": 415, "x": 519}, "right_eyebrow_left_corner": {"y": 272, "x": 485}, "nose_right": {"y": 360, "x": 488}, "nose_tip": {"y": 358, "x": 462}, "contour_right5": {"y": 377, "x": 543}, "nose_contour_lower_middle": {"y": 372, "x": 462}, "left_eyebrow_lower_left_quarter": {"y": 264, "x": 386}, "mouth_lower_lip_left_contour3": {"y": 414, "x": 441}, "right_eye_right_corner": {"y": 291, "x": 536}, "right_eye_lower_right_quarter": {"y": 298, "x": 528}, "mouth_upper_lip_right_contour2": {"y": 392, "x": 481}, "right_eyebrow_lower_right_quarter": {"y": 265, "x": 542}, "left_eye_left_corner": {"y": 290, "x": 391}, "mouth_right_corner": {"y": 394, "x": 497}, "mouth_upper_lip_right_contour3": {"y": 399, "x": 476}, "right_eye_lower_left_quarter": {"y": 301, "x": 504}, "left_eyebrow_right_corner": {"y": 272, "x": 445}, "left_eyebrow_lower_right_quarter": {"y": 271, "x": 425}, "right_eye_center": {"y": 293, "x": 515}, "nose_left": {"y": 359, "x": 434}, "mouth_lower_lip_left_contour1": {"y": 399, "x": 440}, "left_eye_upper_right_quarter": {"y": 287, "x": 426}, "right_eyebrow_lower_middle": {"y": 267, "x": 524}, "left_eye_top": {"y": 281, "x": 413}, "left_eye_center": {"y": 293, "x": 412}, "contour_left8": {"y": 430, "x": 416}, "contour_right9": {"y": 445, "x": 486}, "right_eye_left_corner": {"y": 298, "x": 491}, "mouth_lower_lip_bottom": {"y": 419, "x": 458}, "left_eyebrow_upper_left_quarter": {"y": 254, "x": 385}, "left_eye_pupil": {"y": 290, "x": 411}, "right_eyebrow_upper_left_quarter": {"y": 260, "x": 502}, "contour_right8": {"y": 431, "x": 504}, "right_eyebrow_right_corner": {"y": 265, "x": 560}, "right_eye_upper_left_quarter": {"y": 287, "x": 501}, "left_eyebrow_upper_middle": {"y": 256, "x": 407}, "right_eyebrow_upper_right_quarter": {"y": 254, "x": 543}, "nose_contour_left1": {"y": 297, "x": 447}, "nose_contour_left2": {"y": 342, "x": 440}, "mouth_upper_lip_right_contour1": {"y": 390, "x": 467}, "nose_contour_right1": {"y": 298, "x": 476}, "nose_contour_right2": {"y": 343, "x": 482}, "mouth_lower_lip_left_contour2": {"y": 404, "x": 431}, "contour_right6": {"y": 397, "x": 532}, "nose_contour_right3": {"y": 367, "x": 476}, "nose_contour_left3": {"y": 367, "x": 447}, "left_eye_right_corner": {"y": 298, "x": 435}, "left_eyebrow_upper_right_quarter": {"y": 261, "x": 427}, "right_eye_upper_right_quarter": {"y": 284, "x": 527}, "mouth_upper_lip_bottom": {"y": 401, "x": 457}}, "attributes": {"emotion": {"sadness": 0.025, "neutral": 82.256, "disgust": 0.025, "anger": 0.041, "surprise": 10.904, "fear": 0.025, "happiness": 6.725}, "beauty": {"female_score": 83.064, "male_score": 85.913}, "gender": {"value": "Female"}, "age": {"value": 22}, "mouthstatus": {"close": 99.951, "surgical_mask_or_respirator": 0.0, "open": 0.049, "other_occlusion": 0.0}, "glass": {"value": "None"}, "skinstatus": {"dark_circle": 5.435, "stain": 9.526, "acne": 4.507, "health": 86.207}, "headpose": {"yaw_angle": 1.4644147, "pitch_angle": 11.593095, "roll_angle": 3.9076579}, "blur": {"blurness": {"threshold": 50.0, "value": 0.337}, "motionblur": {"threshold": 50.0, "value": 0.337}, "gaussianblur": {"threshold": 50.0, "value": 0.337}}, "smile": {"threshold": 50.0, "value": 1.7}, "eyestatus": {"left_eye_status": {"normal_glass_eye_open": 0.044, "no_glass_eye_close": 0.0, "occlusion": 0.0, "no_glass_eye_open": 99.956, "normal_glass_eye_close": 0.0, "dark_glasses": 0.0}, "right_eye_status": {"normal_glass_eye_open": 0.038, "no_glass_eye_close": 0.0, "occlusion": 0.0, "no_glass_eye_open": 99.961, "normal_glass_eye_close": 0.0, "dark_glasses": 0.001}}, "facequality": {"threshold": 70.1, "value": 90.037}, "ethnicity": {"value": "ASIAN"}, "eyegaze": {"right_eye_gaze": {"position_x_coordinate": 0.453, "vector_z_component": 0.979, "vector_x_component": -0.135, "vector_y_component": -0.151, "position_y_coordinate": 0.426}, "left_eye_gaze": {"position_x_coordinate": 0.492, "vector_z_component": 0.979, "vector_x_component": 0.147, "vector_y_component": -0.138, "position_y_coordinate": 0.414}}}, "face_rectangle": {"width": 211, "top": 246, "left": 354, "height": 211}, "face_token": "0c744faa710e30f61b2e1024cb14e4c7"}], "image_id": "WFlS739/QDNmXqJ44j52fw==", "request_id": "1568646710,22551e7c-f0eb-452c-b7f3-3f7ad24c7ab6", "face_num": 1} ``` #### API2.使用比较分析 5% 使用比较分析：在PRD文件中是否有说明且提供连结证据，所使用的API是查找过最适用的（主要竞争者无或比较次），如考量其成熟度丶性价比丶等等 #### API3.使用后风险报告 5% * api无法调用的风险，key使用次数的限制，无法使用产品api * api出现错误的风险 * 用户上传错误数据，导致api分析结果不显示的风险。