From 3243fd8baa336c0ab1a2bafd151c078465eb7e3e Mon Sep 17 00:00:00 2001 From: stephon Date: Fri, 3 Sep 2021 07:13:51 +0000 Subject: [PATCH] rm origin file; and add resnet5_vd paddleserving examples --- deploy/paddleserving/README.md | 19 + deploy/paddleserving/README_CN.md | 147 +++ deploy/paddleserving/__init__.py | 0 deploy/paddleserving/config.yml | 33 + deploy/paddleserving/cpu_utilization.py | 4 + deploy/paddleserving/daisy.jpg | Bin 0 -> 39696 bytes deploy/paddleserving/image_http_client.py | 46 - deploy/paddleserving/image_service_cpu.py | 60 -- deploy/paddleserving/image_service_gpu.py | 62 -- deploy/paddleserving/imagenet.label | 1000 ++++++++++++++++++ deploy/paddleserving/pipeline_http_client.py | 19 + deploy/paddleserving/pipeline_rpc_client.py | 38 + deploy/paddleserving/resnet50_web_service.py | 73 ++ deploy/paddleserving/utils.py | 84 -- 14 files changed, 1333 insertions(+), 252 deletions(-) create mode 100644 deploy/paddleserving/README.md create mode 100644 deploy/paddleserving/README_CN.md create mode 100644 deploy/paddleserving/__init__.py create mode 100644 deploy/paddleserving/config.yml create mode 100644 deploy/paddleserving/cpu_utilization.py create mode 100644 deploy/paddleserving/daisy.jpg delete mode 100644 deploy/paddleserving/image_http_client.py delete mode 100644 deploy/paddleserving/image_service_cpu.py delete mode 100644 deploy/paddleserving/image_service_gpu.py create mode 100644 deploy/paddleserving/imagenet.label create mode 100644 deploy/paddleserving/pipeline_http_client.py create mode 100644 deploy/paddleserving/pipeline_rpc_client.py create mode 100644 deploy/paddleserving/resnet50_web_service.py delete mode 100644 deploy/paddleserving/utils.py diff --git a/deploy/paddleserving/README.md b/deploy/paddleserving/README.md new file mode 100644 index 00000000..d0fa99e6 --- /dev/null +++ b/deploy/paddleserving/README.md @@ -0,0 +1,19 @@ +# Imagenet Pipeline WebService + +This document will takes Imagenet service as an example to introduce how to use Pipeline WebService. + +## Get model +``` +sh get_model.sh +``` + +## Start server + +``` +python resnet50_web_service.py &>log.txt & +``` + +## RPC test +``` +python pipeline_rpc_client.py +``` diff --git a/deploy/paddleserving/README_CN.md b/deploy/paddleserving/README_CN.md new file mode 100644 index 00000000..5e2b0104 --- /dev/null +++ b/deploy/paddleserving/README_CN.md @@ -0,0 +1,147 @@ +# PaddleClas 服务化部署 + +([English](./README.md)|简体中文) + +PaddleClas提供2种服务部署方式： +- 基于PaddleHub Serving的部署：代码路径为"`./deploy/hubserving`"，使用方法参考[文档](../../deploy/hubserving/readme.md)； +- 基于PaddleServing的部署：代码路径为"`./deploy/paddleserving`"，按照本教程使用。 + +# 基于PaddleServing的服务部署 + +本文档以经典的ResNet50_vd模型为例，介绍如何使用[PaddleServing](https://github.com/PaddlePaddle/Serving/blob/develop/README_CN.md)工具部署PaddleClas +动态图模型的pipeline在线服务。 + +相比较于hubserving部署，PaddleServing具备以下优点： +- 支持客户端和服务端之间高并发和高效通信 +- 支持 工业级的服务能力 例如模型管理，在线加载，在线A/B测试等 +- 支持 多种编程语言 开发客户端，例如C++, Python和Java + +更多有关PaddleServing服务化部署框架介绍和使用教程参考[文档](https://github.com/PaddlePaddle/Serving/blob/develop/README_CN.md)。 + +## 目录 +- [环境准备](#环境准备) +- [模型转换](#模型转换) +- [Paddle Serving pipeline部署](#部署) +- [FAQ](#FAQ) + + +## 环境准备 + +需要准备PaddleClas的运行环境和Paddle Serving的运行环境。 + +- 准备PaddleOCR的运行环境[链接](../../doc/doc_ch/installation.md) + 根据环境下载对应的paddle whl包，推荐安装2.0.1版本 + +- 准备PaddleServing的运行环境，步骤如下 + +1. 安装serving，用于启动服务 + ``` + pip3 install paddle-serving-server==0.6.1 # for CPU + pip3 install paddle-serving-server-gpu==0.6.1 # for GPU + # 其他GPU环境需要确认环境再选择执行如下命令 + pip3 install paddle-serving-server-gpu==0.6.1.post101 # GPU with CUDA10.1 + TensorRT6 + pip3 install paddle-serving-server-gpu==0.6.1.post11 # GPU with CUDA11 + TensorRT7 + ``` + +2. 安装client，用于向服务发送请求 + 在[下载链接](https://github.com/PaddlePaddle/Serving/blob/develop/doc/LATEST_PACKAGES.md)中找到对应python版本的client安装包，这里推荐python3.7版本： + + ``` + wget https://paddle-serving.bj.bcebos.com/test-dev/whl/paddle_serving_client-0.0.0-cp37-none-any.whl + pip3 install paddle_serving_client-0.0.0-cp37-none-any.whl + ``` + +3. 安装serving-app + ``` + pip3 install paddle-serving-app==0.6.1 + ``` + **Note:** 如果要安装最新版本的PaddleServing参考[链接](https://github.com/PaddlePaddle/Serving/blob/develop/doc/LATEST_PACKAGES.md)。 + + +## 模型转换 + +使用PaddleServing做服务化部署时，需要将保存的inference模型转换为serving易于部署的模型。 + +首先，下载ResNet50_vd的[inference模型](https://github.com/PaddlePaddle/PaddleOCR#pp-ocr-20-series-model-listupdate-on-dec-15) +``` +# 下载并解压ResNet50_vd模型 +wget "https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/ResNet50_vd_infer.tar" && tar xf ResNet50_vd_infer.tar +``` + +接下来，用安装的paddle_serving_client把下载的inference模型转换成易于server部署的模型格式。 + +``` +# 转换ResNet50_vd模型 +python3 -m paddle_serving_client.convert --dirname ./inference/ \ + --model_filename inference.pdmodel \ \ + --params_filename inference.pdiparams \ \ + --serving_server ./ResNet50_vd_serving/ \ + --serving_client ./ResNet50_vd_client/ +``` +检测模型转换完成后，会在当前文件夹多出`ResNet50_vd_serving` 和`ResNet50_vd_client`的文件夹，具备如下格式： +``` +|- ResNet50_vd_client/ + |- __model__ + |- __params__ + |- serving_server_conf.prototxt + |- serving_server_conf.stream.prototxt + +|- ResNet50_vd_client + |- serving_client_conf.prototxt + |- serving_client_conf.stream.prototxt + +``` + + +## Paddle Serving pipeline部署 + +1. 下载PaddleClas代码，若已下载可跳过此步骤 + ``` + git clone https://github.com/PaddlePaddle/PaddleClas + + # 进入到工作目录 + cd PaddleOCR/deploy/paddleserving/ + ``` + pdserver目录包含启动pipeline服务和发送预测请求的代码，包括： + ``` + __init__.py + config.yml # 启动服务的配置文件 + pipeline_http_client.py # http方式发送pipeline预测请求的脚本 + pipeline_rpc_client.py # rpc方式发送pipeline预测请求的脚本 + resnet50_web_service.py # 启动pipeline服务端的脚本 + ``` + +2. 启动服务可运行如下命令： + ``` + # 启动服务，运行日志保存在log.txt + python3 resnet50_web_service.py &>log.txt & + ``` + 成功启动服务后，log.txt中会打印类似如下日志 + ![](./imgs/start_server.png) + +3. 发送服务请求： + ``` + python3 pipeline_http_client.py + ``` + 成功运行后，模型预测的结果会打印在cmd窗口中，结果示例为： + ![](./imgs/results.png) + + 调整 config.yml 中的并发个数获得最大的QPS, 一般检测和识别的并发数为2：1 + ``` + op: + #并发数，is_thread_op=True时，为线程并发；否则为进程并发 + concurrency: 8 + ... + 有需要的话可以同时发送多个服务请求 + + 预测性能数据会被自动写入 `PipelineServingLogs/pipeline.tracer` 文件中。 + + +## FAQ +**Q1**： 发送请求后没有结果返回或者提示输出解码报错 + +**A1**： 启动服务和发送请求时不要设置代理，可以在启动服务前和发送请求前关闭代理，关闭代理的命令是： +``` +unset https_proxy +unset http_proxy +``` diff --git a/deploy/paddleserving/__init__.py b/deploy/paddleserving/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/deploy/paddleserving/config.yml b/deploy/paddleserving/config.yml new file mode 100644 index 00000000..104504f4 --- /dev/null +++ b/deploy/paddleserving/config.yml @@ -0,0 +1,33 @@ +#worker_num, 最大并发数。当build_dag_each_worker=True时, 框架会创建worker_num个进程，每个进程内构建grpcSever和DAG +##当build_dag_each_worker=False时，框架会设置主线程grpc线程池的max_workers=worker_num +worker_num: 1 + +#http端口, rpc_port和http_port不允许同时为空。当rpc_port可用且http_port为空时，不自动生成http_port +http_port: 18080 +rpc_port: 9993 + +dag: + #op资源类型, True, 为线程模型；False，为进程模型 + is_thread_op: False +op: + imagenet: + #并发数，is_thread_op=True时，为线程并发；否则为进程并发 + concurrency: 1 + + #当op配置没有server_endpoints时，从local_service_conf读取本地服务配置 + local_service_conf: + + #uci模型路径 + model_config: ResNet50_vd/ppcls_model/ + + #计算硬件类型: 空缺时由devices决定(CPU/GPU)，0=cpu, 1=gpu, 2=tensorRT, 3=arm cpu, 4=kunlun xpu + device_type: 1 + + #计算硬件ID，当devices为""或不写时为CPU预测；当devices为"0", "0,1,2"时为GPU预测，表示使用的GPU卡 + devices: "0" # "0,1" + + #client类型，包括brpc, grpc和local_predictor.local_predictor不启动Serving服务，进程内预测 + client_type: local_predictor + + #Fetch结果列表，以client_config中fetch_var的alias_name为准 + fetch_list: ["prediction"] diff --git a/deploy/paddleserving/cpu_utilization.py b/deploy/paddleserving/cpu_utilization.py new file mode 100644 index 00000000..984c7237 --- /dev/null +++ b/deploy/paddleserving/cpu_utilization.py @@ -0,0 +1,4 @@ +import psutil +cpu_utilization=psutil.cpu_percent(1,False) +print('CPU_UTILIZATION:', cpu_utilization) + diff --git a/deploy/paddleserving/daisy.jpg 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All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import requests -import base64 -import json -import sys -import numpy as np - -py_version = sys.version_info[0] - - -def predict(image_path, server): - - with open(image_path, "rb") as f: - image = base64.b64encode(f.read()).decode("utf-8") - req = json.dumps({"feed": [{"image": image}], "fetch": ["prediction"]}) - r = requests.post( - server, data=req, headers={"Content-Type": "application/json"}) - try: - pred = r.json()["result"]["prediction"][0] - cls_id = np.argmax(pred) - score = pred[cls_id] - pred = {"cls_id": cls_id, "score": score} - return pred - except ValueError: - print(r.text) - return r - - -if __name__ == "__main__": - server = "http://127.0.0.1:{}/image/prediction".format(sys.argv[1]) - image_file = sys.argv[2] - res = predict(image_file, server) - print("res:", res) diff --git a/deploy/paddleserving/image_service_cpu.py b/deploy/paddleserving/image_service_cpu.py deleted file mode 100644 index 92f67d32..00000000 --- a/deploy/paddleserving/image_service_cpu.py +++ /dev/null @@ -1,60 +0,0 @@ -# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import sys -import base64 -from paddle_serving_server.web_service import WebService -import utils - - -class ImageService(WebService): - def __init__(self, name): - super(ImageService, self).__init__(name=name) - self.operators = self.create_operators() - - def create_operators(self): - size = 224 - img_mean = [0.485, 0.456, 0.406] - img_std = [0.229, 0.224, 0.225] - img_scale = 1.0 / 255.0 - decode_op = utils.DecodeImage() - resize_op = utils.ResizeImage(resize_short=256) - crop_op = utils.CropImage(size=(size, size)) - normalize_op = utils.NormalizeImage( - scale=img_scale, mean=img_mean, std=img_std) - totensor_op = utils.ToTensor() - return [decode_op, resize_op, crop_op, normalize_op, totensor_op] - - def _process_image(self, data, ops): - for op in ops: - data = op(data) - return data - - def preprocess(self, feed={}, fetch=[]): - feed_batch = [] - for ins in feed: - if "image" not in ins: - raise ("feed data error!") - sample = base64.b64decode(ins["image"]) - img = self._process_image(sample, self.operators) - feed_batch.append({"image": img}) - return feed_batch, fetch - - -image_service = ImageService(name="image") -image_service.load_model_config(sys.argv[1]) -image_service.prepare_server( - workdir=sys.argv[2], port=int(sys.argv[3]), device="cpu") -image_service.run_server() -image_service.run_flask() diff --git a/deploy/paddleserving/image_service_gpu.py b/deploy/paddleserving/image_service_gpu.py deleted file mode 100644 index df61cdd6..00000000 --- a/deploy/paddleserving/image_service_gpu.py +++ /dev/null @@ -1,62 +0,0 @@ -# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import sys -import base64 -from paddle_serving_server_gpu.web_service import WebService - -import utils - - -class ImageService(WebService): - def __init__(self, name): - super(ImageService, self).__init__(name=name) - self.operators = self.create_operators() - - def create_operators(self): - size = 224 - img_mean = [0.485, 0.456, 0.406] - img_std = [0.229, 0.224, 0.225] - img_scale = 1.0 / 255.0 - decode_op = utils.DecodeImage() - resize_op = utils.ResizeImage(resize_short=256) - crop_op = utils.CropImage(size=(size, size)) - normalize_op = utils.NormalizeImage( - scale=img_scale, mean=img_mean, std=img_std) - totensor_op = utils.ToTensor() - return [decode_op, resize_op, crop_op, normalize_op, totensor_op] - - def _process_image(self, data, ops): - for op in ops: - data = op(data) - return data - - def preprocess(self, feed={}, fetch=[]): - feed_batch = [] - for ins in feed: - if "image" not in ins: - raise ("feed data error!") - sample = base64.b64decode(ins["image"]) - img = self._process_image(sample, self.operators) - feed_batch.append({"image": img}) - return feed_batch, fetch - - -image_service = ImageService(name="image") -image_service.load_model_config(sys.argv[1]) -image_service.set_gpus("0") -image_service.prepare_server( - workdir=sys.argv[2], port=int(sys.argv[3]), device="gpu") -image_service.run_server() -image_service.run_flask() diff --git a/deploy/paddleserving/imagenet.label b/deploy/paddleserving/imagenet.label new file mode 100644 index 00000000..d7146735 --- /dev/null +++ b/deploy/paddleserving/imagenet.label @@ -0,0 +1,1000 @@ +tench, Tinca tinca, +goldfish, Carassius auratus, +great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias, +tiger shark, Galeocerdo cuvieri, +hammerhead, hammerhead shark, +electric ray, crampfish, numbfish, torpedo, +stingray, +cock, +hen, +ostrich, Struthio camelus, +brambling, Fringilla montifringilla, +goldfinch, Carduelis carduelis, +house finch, linnet, Carpodacus mexicanus, +junco, snowbird, +indigo bunting, indigo finch, indigo bird, Passerina cyanea, +robin, American robin, Turdus migratorius, +bulbul, +jay, +magpie, +chickadee, +water ouzel, dipper, +kite, +bald eagle, American eagle, Haliaeetus leucocephalus, +vulture, +great grey owl, great gray owl, Strix nebulosa, +European fire salamander, Salamandra salamandra, +common newt, Triturus vulgaris, +eft, +spotted salamander, Ambystoma maculatum, +axolotl, mud puppy, Ambystoma mexicanum, +bullfrog, Rana catesbeiana, +tree frog, tree-frog, +tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui, +loggerhead, loggerhead turtle, Caretta caretta, +leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea, +mud turtle, +terrapin, +box turtle, box tortoise, +banded gecko, +common iguana, iguana, Iguana iguana, +American chameleon, anole, Anolis carolinensis, +whiptail, whiptail lizard, +agama, +frilled lizard, Chlamydosaurus kingi, +alligator lizard, +Gila monster, Heloderma suspectum, +green lizard, Lacerta viridis, +African chameleon, Chamaeleo chamaeleon, +Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis, +African crocodile, Nile crocodile, Crocodylus niloticus, +American alligator, Alligator mississipiensis, +triceratops, +thunder snake, worm snake, Carphophis amoenus, +ringneck snake, ring-necked snake, ring snake, +hognose snake, puff adder, sand viper, +green snake, grass snake, +king snake, kingsnake, +garter snake, grass snake, +water snake, +vine snake, +night snake, Hypsiglena torquata, +boa constrictor, Constrictor constrictor, +rock python, rock snake, Python sebae, +Indian cobra, Naja naja, +green mamba, +sea snake, +horned viper, cerastes, sand viper, horned asp, Cerastes cornutus, +diamondback, diamondback rattlesnake, Crotalus adamanteus, +sidewinder, horned rattlesnake, Crotalus cerastes, +trilobite, +harvestman, daddy longlegs, Phalangium opilio, +scorpion, +black and gold garden spider, Argiope aurantia, +barn spider, Araneus cavaticus, +garden spider, Aranea diademata, +black widow, Latrodectus mactans, +tarantula, +wolf spider, hunting spider, +tick, +centipede, +black grouse, +ptarmigan, +ruffed grouse, partridge, Bonasa umbellus, +prairie chicken, prairie grouse, prairie fowl, +peacock, +quail, +partridge, +African grey, African gray, Psittacus erithacus, +macaw, +sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita, +lorikeet, +coucal, +bee eater, +hornbill, +hummingbird, +jacamar, +toucan, +drake, +red-breasted merganser, Mergus serrator, +goose, +black swan, Cygnus atratus, +tusker, +echidna, spiny anteater, anteater, +platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus, +wallaby, brush kangaroo, +koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus, +wombat, +jellyfish, +sea anemone, anemone, +brain coral, +flatworm, platyhelminth, +nematode, nematode worm, roundworm, +conch, +snail, +slug, +sea slug, nudibranch, +chiton, coat-of-mail shell, sea cradle, polyplacophore, +chambered nautilus, pearly nautilus, nautilus, +Dungeness crab, Cancer magister, +rock crab, Cancer irroratus, +fiddler crab, +king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica, +American lobster, Northern lobster, Maine lobster, Homarus americanus, +spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish, +crayfish, crawfish, crawdad, crawdaddy, +hermit crab, +isopod, +white stork, Ciconia ciconia, +black stork, Ciconia nigra, +spoonbill, +flamingo, +little blue heron, Egretta caerulea, +American egret, great white heron, Egretta albus, +bittern, +crane, +limpkin, Aramus pictus, +European gallinule, Porphyrio porphyrio, +American coot, marsh hen, mud hen, water hen, Fulica americana, +bustard, +ruddy turnstone, Arenaria interpres, +red-backed sandpiper, dunlin, Erolia alpina, +redshank, Tringa totanus, +dowitcher, +oystercatcher, oyster catcher, +pelican, +king penguin, Aptenodytes patagonica, +albatross, mollymawk, +grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus, +killer whale, killer, orca, grampus, sea wolf, Orcinus orca, +dugong, Dugong dugon, +sea lion, +Chihuahua, +Japanese spaniel, +Maltese dog, Maltese terrier, Maltese, +Pekinese, Pekingese, Peke, +Shih-Tzu, +Blenheim spaniel, +papillon, +toy terrier, +Rhodesian ridgeback, +Afghan hound, Afghan, +basset, basset hound, +beagle, +bloodhound, sleuthhound, +bluetick, +black-and-tan coonhound, +Walker hound, Walker foxhound, +English foxhound, +redbone, +borzoi, Russian wolfhound, +Irish wolfhound, +Italian greyhound, +whippet, +Ibizan hound, Ibizan Podenco, +Norwegian elkhound, elkhound, +otterhound, otter hound, +Saluki, gazelle hound, +Scottish deerhound, deerhound, +Weimaraner, +Staffordshire bullterrier, Staffordshire bull terrier, +American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier, +Bedlington terrier, +Border terrier, +Kerry blue terrier, +Irish terrier, +Norfolk terrier, +Norwich terrier, +Yorkshire terrier, +wire-haired fox terrier, +Lakeland terrier, +Sealyham terrier, Sealyham, +Airedale, Airedale terrier, +cairn, cairn terrier, +Australian terrier, +Dandie Dinmont, Dandie Dinmont terrier, +Boston bull, Boston terrier, +miniature schnauzer, +giant schnauzer, +standard schnauzer, +Scotch terrier, Scottish terrier, Scottie, +Tibetan terrier, chrysanthemum dog, +silky terrier, Sydney silky, +soft-coated wheaten terrier, +West Highland white terrier, +Lhasa, Lhasa apso, +flat-coated retriever, +curly-coated retriever, +golden retriever, +Labrador retriever, +Chesapeake Bay retriever, +German short-haired pointer, +vizsla, Hungarian pointer, +English setter, +Irish setter, red setter, +Gordon setter, +Brittany spaniel, +clumber, clumber spaniel, +English springer, English springer spaniel, +Welsh springer spaniel, +cocker spaniel, English cocker spaniel, cocker, +Sussex spaniel, +Irish water spaniel, +kuvasz, +schipperke, +groenendael, +malinois, +briard, +kelpie, +komondor, +Old English sheepdog, bobtail, +Shetland sheepdog, Shetland sheep dog, Shetland, +collie, +Border collie, +Bouvier des Flandres, Bouviers des Flandres, +Rottweiler, +German shepherd, German shepherd dog, German police dog, alsatian, +Doberman, Doberman pinscher, +miniature pinscher, +Greater Swiss Mountain dog, +Bernese mountain dog, +Appenzeller, +EntleBucher, +boxer, +bull mastiff, +Tibetan mastiff, +French bulldog, +Great Dane, +Saint Bernard, St Bernard, +Eskimo dog, husky, +malamute, malemute, Alaskan malamute, +Siberian husky, +dalmatian, coach dog, carriage dog, +affenpinscher, monkey pinscher, monkey dog, +basenji, +pug, pug-dog, +Leonberg, +Newfoundland, Newfoundland dog, +Great Pyrenees, +Samoyed, Samoyede, +Pomeranian, +chow, chow chow, +keeshond, +Brabancon griffon, +Pembroke, Pembroke Welsh corgi, +Cardigan, Cardigan Welsh corgi, +toy poodle, +miniature poodle, +standard poodle, +Mexican hairless, +timber wolf, grey wolf, gray wolf, Canis lupus, +white wolf, Arctic wolf, Canis lupus tundrarum, +red wolf, maned wolf, Canis rufus, Canis niger, +coyote, prairie wolf, brush wolf, Canis latrans, +dingo, warrigal, warragal, Canis dingo, +dhole, Cuon alpinus, +African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus, +hyena, hyaena, +red fox, Vulpes vulpes, +kit fox, Vulpes macrotis, +Arctic fox, white fox, Alopex lagopus, +grey fox, gray fox, Urocyon cinereoargenteus, +tabby, tabby cat, +tiger cat, +Persian cat, +Siamese cat, Siamese, +Egyptian cat, +cougar, puma, catamount, mountain lion, painter, panther, Felis concolor, +lynx, catamount, +leopard, Panthera pardus, +snow leopard, ounce, Panthera uncia, +jaguar, panther, Panthera onca, Felis onca, +lion, king of beasts, Panthera leo, +tiger, Panthera tigris, +cheetah, chetah, Acinonyx jubatus, +brown bear, bruin, Ursus arctos, +American black bear, black bear, Ursus americanus, Euarctos americanus, +ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus, +sloth bear, Melursus ursinus, Ursus ursinus, +mongoose, +meerkat, mierkat, +tiger beetle, +ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle, +ground beetle, carabid beetle, +long-horned beetle, longicorn, longicorn beetle, +leaf beetle, chrysomelid, +dung beetle, +rhinoceros beetle, +weevil, +fly, +bee, +ant, emmet, pismire, +grasshopper, hopper, +cricket, +walking stick, walkingstick, stick insect, +cockroach, roach, +mantis, mantid, +cicada, cicala, +leafhopper, +lacewing, lacewing fly, +"dragonfly, darning needle, devils darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk", +damselfly, +admiral, +ringlet, ringlet butterfly, +monarch, monarch butterfly, milkweed butterfly, Danaus plexippus, +cabbage butterfly, +sulphur butterfly, sulfur butterfly, +lycaenid, lycaenid butterfly, +starfish, sea star, +sea urchin, +sea cucumber, holothurian, +wood rabbit, cottontail, cottontail rabbit, +hare, +Angora, Angora rabbit, +hamster, +porcupine, hedgehog, +fox squirrel, eastern fox squirrel, Sciurus niger, +marmot, +beaver, +guinea pig, Cavia cobaya, +sorrel, +zebra, +hog, pig, grunter, squealer, Sus scrofa, +wild boar, boar, Sus scrofa, +warthog, +hippopotamus, hippo, river horse, Hippopotamus amphibius, +ox, +water buffalo, water ox, Asiatic buffalo, Bubalus bubalis, +bison, +ram, tup, +bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis, +ibex, Capra ibex, +hartebeest, +impala, Aepyceros melampus, +gazelle, +Arabian camel, dromedary, Camelus dromedarius, +llama, +weasel, +mink, +polecat, fitch, foulmart, foumart, Mustela putorius, +black-footed ferret, ferret, Mustela nigripes, +otter, +skunk, polecat, wood pussy, +badger, +armadillo, +three-toed sloth, ai, Bradypus tridactylus, +orangutan, orang, orangutang, Pongo pygmaeus, +gorilla, Gorilla gorilla, +chimpanzee, chimp, Pan troglodytes, +gibbon, Hylobates lar, +siamang, Hylobates syndactylus, Symphalangus syndactylus, +guenon, guenon monkey, +patas, hussar monkey, Erythrocebus patas, +baboon, +macaque, +langur, +colobus, colobus monkey, +proboscis monkey, Nasalis larvatus, +marmoset, +capuchin, ringtail, Cebus capucinus, +howler monkey, howler, +titi, titi monkey, +spider monkey, Ateles geoffroyi, +squirrel monkey, Saimiri sciureus, +Madagascar cat, ring-tailed lemur, Lemur catta, +indri, indris, Indri indri, Indri brevicaudatus, +Indian elephant, Elephas maximus, +African elephant, Loxodonta africana, +lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens, +giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca, +barracouta, snoek, +eel, +coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch, +rock beauty, Holocanthus tricolor, +anemone fish, +sturgeon, +gar, garfish, garpike, billfish, Lepisosteus osseus, +lionfish, +puffer, pufferfish, blowfish, globefish, +abacus, +abaya, +"academic gown, academic robe, judges robe", +accordion, piano accordion, squeeze box, +acoustic guitar, +aircraft carrier, carrier, flattop, attack aircraft carrier, +airliner, +airship, dirigible, +altar, +ambulance, +amphibian, amphibious vehicle, +analog clock, +apiary, bee house, +apron, +ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin, +assault rifle, assault gun, +backpack, back pack, knapsack, packsack, rucksack, haversack, +bakery, bakeshop, bakehouse, +balance beam, beam, +balloon, +ballpoint, ballpoint pen, ballpen, Biro, +Band Aid, +banjo, +bannister, banister, balustrade, balusters, handrail, +barbell, +barber chair, +barbershop, +barn, +barometer, +barrel, cask, +barrow, garden cart, lawn cart, wheelbarrow, +baseball, +basketball, +bassinet, +bassoon, +bathing cap, swimming cap, +bath towel, +bathtub, bathing tub, bath, tub, +beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon, +beacon, lighthouse, beacon light, pharos, +beaker, +bearskin, busby, shako, +beer bottle, +beer glass, +bell cote, bell cot, +bib, +bicycle-built-for-two, tandem bicycle, tandem, +bikini, two-piece, +binder, ring-binder, +binoculars, field glasses, opera glasses, +birdhouse, +boathouse, +bobsled, bobsleigh, bob, +bolo tie, bolo, bola tie, bola, +bonnet, poke bonnet, +bookcase, +bookshop, bookstore, bookstall, +bottlecap, +bow, +bow tie, bow-tie, bowtie, +brass, memorial tablet, plaque, +brassiere, bra, bandeau, +breakwater, groin, groyne, mole, bulwark, seawall, jetty, +breastplate, aegis, egis, +broom, +bucket, pail, +buckle, +bulletproof vest, +bullet train, bullet, +butcher shop, meat market, +cab, hack, taxi, taxicab, +caldron, cauldron, +candle, taper, wax light, +cannon, +canoe, +can opener, tin opener, +cardigan, +car mirror, +carousel, carrousel, merry-go-round, roundabout, whirligig, +"carpenters kit, tool kit", +carton, +car wheel, +cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM, +cassette, +cassette player, +castle, +catamaran, +CD player, +cello, violoncello, +cellular telephone, cellular phone, cellphone, cell, mobile phone, +chain, +chainlink fence, +chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour, +chain saw, chainsaw, +chest, +chiffonier, commode, +chime, bell, gong, +china cabinet, china closet, +Christmas stocking, +church, church building, +cinema, movie theater, movie theatre, movie house, picture palace, +cleaver, meat cleaver, chopper, +cliff dwelling, +cloak, +clog, geta, patten, sabot, +cocktail shaker, +coffee mug, +coffeepot, +coil, spiral, volute, whorl, helix, +combination lock, +computer keyboard, keypad, +confectionery, confectionary, candy store, +container ship, containership, container vessel, +convertible, +corkscrew, bottle screw, +cornet, horn, trumpet, trump, +cowboy boot, +cowboy hat, ten-gallon hat, +cradle, +crane, +crash helmet, +crate, +crib, cot, +Crock Pot, +croquet ball, +crutch, +cuirass, +dam, dike, dyke, +desk, +desktop computer, +dial telephone, dial phone, +diaper, nappy, napkin, +digital clock, +digital watch, +dining table, board, +dishrag, dishcloth, +dishwasher, dish washer, dishwashing machine, +disk brake, disc brake, +dock, dockage, docking facility, +dogsled, dog sled, dog sleigh, +dome, +doormat, welcome mat, +drilling platform, offshore rig, +drum, membranophone, tympan, +drumstick, +dumbbell, +Dutch oven, +electric fan, blower, +electric guitar, +electric locomotive, +entertainment center, +envelope, +espresso maker, +face powder, +feather boa, boa, +file, file cabinet, filing cabinet, +fireboat, +fire engine, fire truck, +fire screen, fireguard, +flagpole, flagstaff, +flute, transverse flute, +folding chair, +football helmet, +forklift, +fountain, +fountain pen, +four-poster, +freight car, +French horn, horn, +frying pan, frypan, skillet, +fur coat, +garbage truck, dustcart, +gasmask, respirator, gas helmet, +gas pump, gasoline pump, petrol pump, island dispenser, +goblet, +go-kart, +golf ball, +golfcart, golf cart, +gondola, +gong, tam-tam, +gown, +grand piano, grand, +greenhouse, nursery, glasshouse, +grille, radiator grille, +grocery store, grocery, food market, market, +guillotine, +hair slide, +hair spray, +half track, +hammer, +hamper, +hand blower, blow dryer, blow drier, hair dryer, hair drier, +hand-held computer, hand-held microcomputer, +handkerchief, hankie, hanky, hankey, +hard disc, hard disk, fixed disk, +harmonica, mouth organ, harp, mouth harp, +harp, +harvester, reaper, +hatchet, +holster, +home theater, home theatre, +honeycomb, +hook, claw, +hoopskirt, crinoline, +horizontal bar, high bar, +horse cart, horse-cart, +hourglass, +iPod, +iron, smoothing iron, +"jack-o-lantern", +jean, blue jean, denim, +jeep, landrover, +jersey, T-shirt, tee shirt, +jigsaw puzzle, +jinrikisha, ricksha, rickshaw, +joystick, +kimono, +knee pad, +knot, +lab coat, laboratory coat, +ladle, +lampshade, lamp shade, +laptop, laptop computer, +lawn mower, mower, +lens cap, lens cover, +letter opener, paper knife, paperknife, +library, +lifeboat, +lighter, light, igniter, ignitor, +limousine, limo, +liner, ocean liner, +lipstick, lip rouge, +Loafer, +lotion, +loudspeaker, speaker, speaker unit, loudspeaker system, speaker system, +"loupe, jewelers loupe", +lumbermill, sawmill, +magnetic compass, +mailbag, postbag, +mailbox, letter box, +maillot, +maillot, tank suit, +manhole cover, +maraca, +marimba, xylophone, +mask, +matchstick, +maypole, +maze, labyrinth, +measuring cup, +medicine chest, medicine cabinet, +megalith, megalithic structure, +microphone, mike, +microwave, microwave oven, +military uniform, +milk can, +minibus, +miniskirt, mini, +minivan, +missile, +mitten, +mixing bowl, +mobile home, manufactured home, +Model T, +modem, +monastery, +monitor, +moped, +mortar, +mortarboard, +mosque, +mosquito net, +motor scooter, scooter, +mountain bike, all-terrain bike, off-roader, +mountain tent, +mouse, computer mouse, +mousetrap, +moving van, +muzzle, +nail, +neck brace, +necklace, +nipple, +notebook, notebook computer, +obelisk, +oboe, hautboy, hautbois, +ocarina, sweet potato, +odometer, hodometer, mileometer, milometer, +oil filter, +organ, pipe organ, +oscilloscope, scope, cathode-ray oscilloscope, CRO, +overskirt, +oxcart, +oxygen mask, +packet, +paddle, boat paddle, +paddlewheel, paddle wheel, +padlock, +paintbrush, +"pajama, pyjama, pjs, jammies", +palace, +panpipe, pandean pipe, syrinx, +paper towel, +parachute, chute, +parallel bars, bars, +park bench, +parking meter, +passenger car, coach, carriage, +patio, terrace, +pay-phone, pay-station, +pedestal, plinth, footstall, +pencil box, pencil case, +pencil sharpener, +perfume, essence, +Petri dish, +photocopier, +pick, plectrum, plectron, +pickelhaube, +picket fence, paling, +pickup, pickup truck, +pier, +piggy bank, penny bank, +pill bottle, +pillow, +ping-pong ball, +pinwheel, +pirate, pirate ship, +pitcher, ewer, +"plane, carpenters plane, woodworking plane", +planetarium, +plastic bag, +plate rack, +plow, plough, +"plunger, plumbers helper", +Polaroid camera, Polaroid Land camera, +pole, +police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria, +poncho, +pool table, billiard table, snooker table, +pop bottle, soda bottle, +pot, flowerpot, +"potters wheel", +power drill, +prayer rug, prayer mat, +printer, +prison, prison house, +projectile, missile, +projector, +puck, hockey puck, +punching bag, punch bag, punching ball, punchball, +purse, +quill, quill pen, +quilt, comforter, comfort, puff, +racer, race car, racing car, +racket, racquet, +radiator, +radio, wireless, +radio telescope, radio reflector, +rain barrel, +recreational vehicle, RV, R.V., +reel, +reflex camera, +refrigerator, icebox, +remote control, remote, +restaurant, eating house, eating place, eatery, +revolver, six-gun, six-shooter, +rifle, +rocking chair, rocker, +rotisserie, +rubber eraser, rubber, pencil eraser, +rugby ball, +rule, ruler, +running shoe, +safe, +safety pin, +saltshaker, salt shaker, +sandal, +sarong, +sax, saxophone, +scabbard, +scale, weighing machine, +school bus, +schooner, +scoreboard, +screen, CRT screen, +screw, +screwdriver, +seat belt, seatbelt, +sewing machine, +shield, buckler, +shoe shop, shoe-shop, shoe store, +shoji, +shopping basket, +shopping cart, +shovel, +shower cap, +shower curtain, +ski, +ski mask, +sleeping bag, +slide rule, slipstick, +sliding door, +slot, one-armed bandit, +snorkel, +snowmobile, +snowplow, snowplough, +soap dispenser, +soccer ball, +sock, +solar dish, solar collector, solar furnace, +sombrero, +soup bowl, +space bar, +space heater, +space shuttle, +spatula, +speedboat, +"spider web, spiders web", +spindle, +sports car, sport car, +spotlight, spot, +stage, +steam locomotive, +steel arch bridge, +steel drum, +stethoscope, +stole, +stone wall, +stopwatch, stop watch, +stove, +strainer, +streetcar, tram, tramcar, trolley, trolley car, +stretcher, +studio couch, day bed, +stupa, tope, +submarine, pigboat, sub, U-boat, +suit, suit of clothes, +sundial, +sunglass, +sunglasses, dark glasses, shades, +sunscreen, sunblock, sun blocker, +suspension bridge, +swab, swob, mop, +sweatshirt, +swimming trunks, bathing trunks, +swing, +switch, electric switch, electrical switch, +syringe, +table lamp, +tank, army tank, armored combat vehicle, armoured combat vehicle, +tape player, +teapot, +teddy, teddy bear, +television, television system, +tennis ball, +thatch, thatched roof, +theater curtain, theatre curtain, +thimble, +thresher, thrasher, threshing machine, +throne, +tile roof, +toaster, +tobacco shop, tobacconist shop, tobacconist, +toilet seat, +torch, +totem pole, +tow truck, tow car, wrecker, +toyshop, +tractor, +trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi, +tray, +trench coat, +tricycle, trike, velocipede, +trimaran, +tripod, +triumphal arch, +trolleybus, trolley coach, trackless trolley, +trombone, +tub, vat, +turnstile, +typewriter keyboard, +umbrella, +unicycle, monocycle, +upright, upright piano, +vacuum, vacuum cleaner, +vase, +vault, +velvet, +vending machine, +vestment, +viaduct, +violin, fiddle, +volleyball, +waffle iron, +wall clock, +wallet, billfold, notecase, pocketbook, +wardrobe, closet, press, +warplane, military plane, +washbasin, handbasin, washbowl, lavabo, wash-hand basin, +washer, automatic washer, washing machine, +water bottle, +water jug, +water tower, +whiskey jug, +whistle, +wig, +window screen, +window shade, +Windsor tie, +wine bottle, +wing, +wok, +wooden spoon, +wool, woolen, woollen, +worm fence, snake fence, snake-rail fence, Virginia fence, +wreck, +yawl, +yurt, +web site, website, internet site, site, +comic book, +crossword puzzle, crossword, +street sign, +traffic light, traffic signal, stoplight, +book jacket, dust cover, dust jacket, dust wrapper, +menu, +plate, +guacamole, +consomme, +hot pot, hotpot, +trifle, +ice cream, icecream, +ice lolly, lolly, lollipop, popsicle, +French loaf, +bagel, beigel, +pretzel, +cheeseburger, +hotdog, hot dog, red hot, +mashed potato, +head cabbage, +broccoli, +cauliflower, +zucchini, courgette, +spaghetti squash, +acorn squash, +butternut squash, +cucumber, cuke, +artichoke, globe artichoke, +bell pepper, +cardoon, +mushroom, +Granny Smith, +strawberry, +orange, +lemon, +fig, +pineapple, ananas, +banana, +jackfruit, jak, jack, +custard apple, +pomegranate, +hay, +carbonara, +chocolate sauce, chocolate syrup, +dough, +meat loaf, meatloaf, +pizza, pizza pie, +potpie, +burrito, +red wine, +espresso, +cup, +eggnog, +alp, +bubble, +cliff, drop, drop-off, +coral reef, +geyser, +lakeside, lakeshore, +promontory, headland, head, foreland, +sandbar, sand bar, +seashore, coast, seacoast, sea-coast, +valley, vale, +volcano, +ballplayer, baseball player, +groom, bridegroom, +scuba diver, +rapeseed, +daisy, +"yellow ladys slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum", +corn, +acorn, +hip, rose hip, rosehip, +buckeye, horse chestnut, conker, +coral fungus, +agaric, +gyromitra, +stinkhorn, carrion fungus, +earthstar, +hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa, +bolete, +ear, spike, capitulum, +toilet tissue, toilet paper, bathroom tissue diff --git a/deploy/paddleserving/pipeline_http_client.py b/deploy/paddleserving/pipeline_http_client.py new file mode 100644 index 00000000..bc3fab25 --- /dev/null +++ b/deploy/paddleserving/pipeline_http_client.py @@ -0,0 +1,19 @@ +import numpy as np +import requests +import json +import cv2 +import base64 +import os + +def cv2_to_base64(image): + return base64.b64encode(image).decode('utf8') + +if __name__ == "__main__": + url = "http://127.0.0.1:18080/imagenet/prediction" + with open(os.path.join(".", "daisy.jpg"), 'rb') as file: + image_data1 = file.read() + image = cv2_to_base64(image_data1) + data = {"key": ["image"], "value": [image]} + for i in range(100): + r = requests.post(url=url, data=json.dumps(data)) + print(r.json()) diff --git a/deploy/paddleserving/pipeline_rpc_client.py b/deploy/paddleserving/pipeline_rpc_client.py new file mode 100644 index 00000000..62de9ea9 --- /dev/null +++ b/deploy/paddleserving/pipeline_rpc_client.py @@ -0,0 +1,38 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +try: + from paddle_serving_server_gpu.pipeline import PipelineClient +except ImportError: + from paddle_serving_server.pipeline import PipelineClient +import numpy as np +import requests +import json +import cv2 +import base64 +import os + +client = PipelineClient() +client.connect(['127.0.0.1:9993']) + +def cv2_to_base64(image): + return base64.b64encode(image).decode('utf8') + +if __name__ == "__main__": + with open("daisy.jpg", 'rb') as file: + image_data = file.read() + image = cv2_to_base64(image_data) + + for i in range(1): + ret = client.predict(feed_dict={"image": image}, fetch=["label", "prob"]) + print(ret) diff --git a/deploy/paddleserving/resnet50_web_service.py b/deploy/paddleserving/resnet50_web_service.py new file mode 100644 index 00000000..6c353eb1 --- /dev/null +++ b/deploy/paddleserving/resnet50_web_service.py @@ -0,0 +1,73 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import sys +from paddle_serving_app.reader import Sequential, URL2Image, Resize, CenterCrop, RGB2BGR, Transpose, Div, Normalize, Base64ToImage +try: + from paddle_serving_server_gpu.web_service import WebService, Op +except ImportError: + from paddle_serving_server.web_service import WebService, Op +import logging +import numpy as np +import base64, cv2 + +class ImagenetOp(Op): + def init_op(self): + self.seq = Sequential([ + Resize(256), CenterCrop(224), RGB2BGR(), Transpose((2, 0, 1)), + Div(255), Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225], + True) + ]) + self.label_dict = {} + label_idx = 0 + with open("imagenet.label") as fin: + for line in fin: + self.label_dict[label_idx] = line.strip() + label_idx += 1 + + def preprocess(self, input_dicts, data_id, log_id): + (_, input_dict), = input_dicts.items() + batch_size = len(input_dict.keys()) + imgs = [] + for key in input_dict.keys(): + data = base64.b64decode(input_dict[key].encode('utf8')) + data = np.fromstring(data, np.uint8) + im = cv2.imdecode(data, cv2.IMREAD_COLOR) + img = self.seq(im) + imgs.append(img[np.newaxis, :].copy()) + input_imgs = np.concatenate(imgs, axis=0) + return {"image": input_imgs}, False, None, "" + + def postprocess(self, input_dicts, fetch_dict, log_id): + score_list = fetch_dict["prediction"] + result = {"label": [], "prob": []} + for score in score_list: + score = score.tolist() + max_score = max(score) + result["label"].append(self.label_dict[score.index(max_score)] + .strip().replace(",", "")) + result["prob"].append(max_score) + result["label"] = str(result["label"]) + result["prob"] = str(result["prob"]) + return result, None, "" + + +class ImageService(WebService): + def get_pipeline_response(self, read_op): + image_op = ImagenetOp(name="imagenet", input_ops=[read_op]) + return image_op + + +uci_service = ImageService(name="imagenet") +uci_service.prepare_pipeline_config("config.yml") +uci_service.run_service() diff --git a/deploy/paddleserving/utils.py b/deploy/paddleserving/utils.py deleted file mode 100644 index 6c4a75e1..00000000 --- a/deploy/paddleserving/utils.py +++ /dev/null @@ -1,84 +0,0 @@ -# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import cv2 -import numpy as np - - -class DecodeImage(object): - def __init__(self, to_rgb=True): - self.to_rgb = to_rgb - - def __call__(self, img): - data = np.frombuffer(img, dtype='uint8') - img = cv2.imdecode(data, 1) - if self.to_rgb: - assert img.shape[2] == 3, 'invalid shape of image[%s]' % ( - img.shape) - img = img[:, :, ::-1] - - return img - - -class ResizeImage(object): - def __init__(self, resize_short=None): - self.resize_short = resize_short - - def __call__(self, img): - img_h, img_w = img.shape[:2] - percent = float(self.resize_short) / min(img_w, img_h) - w = int(round(img_w * percent)) - h = int(round(img_h * percent)) - return cv2.resize(img, (w, h)) - - -class CropImage(object): - def __init__(self, size): - if type(size) is int: - self.size = (size, size) - else: - self.size = size - - def __call__(self, img): - w, h = self.size - img_h, img_w = img.shape[:2] - w_start = (img_w - w) // 2 - h_start = (img_h - h) // 2 - - w_end = w_start + w - h_end = h_start + h - return img[h_start:h_end, w_start:w_end, :] - - -class NormalizeImage(object): - def __init__(self, scale=None, mean=None, std=None): - self.scale = np.float32(scale if scale is not None else 1.0 / 255.0) - mean = mean if mean is not None else [0.485, 0.456, 0.406] - std = std if std is not None else [0.229, 0.224, 0.225] - - shape = (1, 1, 3) - self.mean = np.array(mean).reshape(shape).astype('float32') - self.std = np.array(std).reshape(shape).astype('float32') - - def __call__(self, img): - return (img.astype('float32') * self.scale - self.mean) / self.std - - -class ToTensor(object): - def __init__(self): - pass - - def __call__(self, img): - img = img.transpose((2, 0, 1)) - return img -- GitLab