paddleserving 下的Pipeline下测试案例将获取的json格式的矩形框位置合成框图出现的结果与实际结果相差很大

[wxf764571829]

预测结果合成如下：

serving版本0.7.0，paddle版本2.2.1 测试案例地址：https://github.com/PaddlePaddle/Serving/tree/v0.7.0/examples/Pipeline/PaddleDetection/ppyolo_mbv3 我不知道是我合成图片的代码问题还是什么问题。合成代码是根据PaddleDetection中修改的，我在想合成图的偏差是不是和resize有关，如果是我应该如何修改，劳烦前辈们贴一下代码 def draw_box(im, np_boxes, labels, threshold=0.5): if isinstance(im, str): im = Image.open(im).convert('RGB') else: im = Image.fromarray(im) draw_thickness = 5 draw = ImageDraw.Draw(im) color = (255, 0, 0) for dt in np_boxes: clsid, bbox, score = int(dt['category_id']), dt['bbox'], dt['score'] if float(score)<threshold: continue if len(bbox) == 4: xmin,ymin,w,h = bbox xmax=xmin+w ymax=h+ymin print('class_id:{:d}, confidence:{:.4f}, left_top:[{:.2f},{:.2f}],' 'right_bottom:[{:.2f},{:.2f}]'.format( int(clsid), score, xmin, ymin, xmax, ymax)) draw.line( [(xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin), (xmin, ymin)], width=draw_thickness, fill=color) elif len(bbox) == 8: x1, y1, x2, y2, x3, y3, x4, y4 = bbox draw.line( [(x1, y1), (x2, y2), (x3, y3), (x4, y4), (x1, y1)], width=2, fill=color) xmin = min(x1, x2, x3, x4) ymin = min(y1, y2, y3, y4)

    # draw label
    text = "{} {:.4f}".format(labels[clsid], score)
    tw, th = draw.textsize(text)
    draw.rectangle(
        [(xmin + 1, ymin - th), (xmin + tw + 1, ymin)], fill=color)
    draw.text((xmin + 1, ymin - th), text, fill=(255, 255, 255))
return im

以下是我client获取的数据： {'err_no': 0, 'err_msg': '', 'key': ['bbox_result'], 'value': ["[{'category_id': 0, 'bbox': [104.77781677246094, 220.04672241210938, 26.746688842773438, 94.14239501953125], 'score': 0.9640887975692749}, {'category_id': 0, 'bbox': [261.9789123535156, 240.54869079589844, 28.68646240234375, 78.90553283691406], 'score': 0.8898410797119141}, {'category_id': 0, 'bbox': [129.2666473388672, 226.21530151367188, 22.13275146484375, 84.9058837890625], 'score': 0.8659509420394897}, {'category_id': 0, 'bbox': [201.70130920410156, 230.8160858154297, 22.97906494140625, 77.64558410644531], 'score': 0.7219269275665283}, {'category_id': 0, 'bbox': [10.000456809997559, 234.29498291015625, 16.534008979797363, 48.3221435546875], 'score': 0.6267762184143066}, {'category_id': 0, 'bbox': [228.2361297607422, 250.35365295410156, 29.966384887695312, 69.64634704589844], 'score': 0.5459369421005249}, {'category_id': 0, 'bbox': [155.479248046875, 253.79025268554688, 27.455657958984375, 41.54345703125], 'score': 0.5031428933143616}, {'category_id': 0, 'bbox': [80.72022247314453, 246.94285583496094, 23.80780029296875, 35.07670593261719], 'score': 0.5007156729698181}, {'category_id': 0, 'bbox': [49.320274353027344, 247.65826416015625, 15.526123046875, 28.13006591796875], 'score': 0.455748587846756}, {'category_id': 0, 'bbox': [68.85765838623047, 244.1172332763672, 13.843948364257812, 32.69041442871094], 'score': 0.4165054261684418}, {'category_id': 0, 'bbox': [252.58009338378906, 249.45486450195312, 21.008712768554688, 69.3369140625], 'score': 0.3903881311416626}, {'category_id': 0, 'bbox': [185.34873962402344, 243.6025390625, 9.71185302734375, 20.22100830078125], 'score': 0.3216567039489746}, {'category_id': 0, 'bbox': [193.24346923828125, 236.28211975097656, 11.90863037109375, 28.985488891601562], 'score': 0.24344971776008606}, {'category_id': 0, 'bbox': [0.7632584571838379, 230.71495056152344, 10.926928997039795, 41.00544738769531], 'score': 0.1596643477678299}, {'category_id': 0, 'bbox': [37.44097137451172, 246.95372009277344, 10.906280517578125, 25.067672729492188], 'score': 0.1594216674566269}, {'category_id': 0, 'bbox': [164.748046875, 237.98731994628906, 7.593902587890625, 21.414718627929688], 'score': 0.15178322792053223}, {'category_id': 0, 'bbox': [69.41304779052734, 242.54443359375, 9.963607788085938, 21.63653564453125], 'score': 0.13828220963478088}, {'category_id': 0, 'bbox': [241.49710083007812, 237.57098388671875, 9.55072021484375, 24.04180908203125], 'score': 0.12375061959028244}, {'category_id': 0, 'bbox': [285.961669921875, 278.46832275390625, 20.49835205078125, 39.2310791015625], 'score': 0.12212376296520233}, {'category_id': 0, 'bbox': [47.71091842651367, 242.14566040039062, 9.621788024902344, 17.767852783203125], 'score': 0.11466776579618454}, {'category_id': 0, 'bbox': [2.6708006858825684, 238.4586639404297, 11.30529260635376, 46.31599426269531], 'score': 0.09807839244604111}, {'category_id': 0, 'bbox': [90.9610824584961, 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29.886520385742188], 'score': 0.045629601925611496}, {'category_id': 0, 'bbox': [84.02812194824219, 245.55104064941406, 9.152130126953125, 16.806442260742188], 'score': 0.0455605685710907}, {'category_id': 0, 'bbox': [252.2805633544922, 257.4069519042969, 13.570297241210938, 41.88812255859375], 'score': 0.045533448457717896}, {'category_id': 0, 'bbox': [264.5662536621094, 234.99530029296875, 10.1854248046875, 22.108673095703125], 'score': 0.04436985403299332}, {'category_id': 0, 'bbox': [202.88546752929688, 265.8107604980469, 20.2958984375, 54.047119140625], 'score': 0.04066871851682663}, {'category_id': 0, 'bbox': [131.0711669921875, 242.74331665039062, 13.006744384765625, 39.16448974609375], 'score': 0.0392686165869236}, {'category_id': 0, 'bbox': [309.6045227050781, 229.70028686523438, 7.1514892578125, 15.314117431640625], 'score': 0.03677855804562569}, {'category_id': 0, 'bbox': [312.711669921875, 279.6818542480469, 7.288330078125, 33.6279296875], 'score': 0.03606400638818741}, 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{'category_id': 33, 'bbox': [90.33345031738281, 159.356689453125, 70.24696350097656, 42.218292236328125], 'score': 0.07454878091812134}, {'category_id': 33, 'bbox': [140.13076782226562, 64.16253662109375, 6.197235107421875, 5.222900390625], 'score': 0.06673435866832733}, {'category_id': 33, 'bbox': [105.12716674804688, 115.27299499511719, 92.50146484375, 39.214599609375], 'score': 0.05628605931997299}, {'category_id': 33, 'bbox': [106.47122192382812, 117.14395141601562, 23.82427978515625, 14.825668334960938], 'score': 0.050907064229249954}, {'category_id': 33, 'bbox': [299.37481689453125, 0.0, 7.36944580078125, 7.277366638183594], 'score': 0.04641982540488243}, {'category_id': 33, 'bbox': [48.68267822265625, 211.44992065429688, 20.631698608398438, 17.972808837890625], 'score': 0.0377458781003952}, {'category_id': 33, 'bbox': [142.03839111328125, 58.0018196105957, 25.4373779296875, 11.968059539794922], 'score': 0.033972661942243576}, {'category_id': 33, 'bbox': [139.00241088867188, 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[heavengate]

你在哪里做了resize，看你贴的代码是画框的代码，没有resize的代码

[paddle-bot-old[bot]]

Since this issue has not been updated for more than three months, it will be closed, if it is not solved or there is a follow-up one, please reopen it at any time and we will continue to follow up. It is recommended to pull and try the latest code first. 由于该问题超过三个月未更新，将会被关闭，若问题未解决或有后续问题，请随时重新打开（建议先拉取最新代码进行尝试），我们会继续跟进。