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体验新版 GitCode,发现更多精彩内容 >>
提交
633d04dd
编写于
2月 28, 2022
作者:
F
felixhjh
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
add pipeline encrypt demo
上级
6a403391
变更
12
隐藏空白更改
内联
并排
Showing
12 changed file
with
1228 addition
and
3 deletion
+1228
-3
examples/Pipeline/PaddleClas/DarkNet53-encryption/README.md
examples/Pipeline/PaddleClas/DarkNet53-encryption/README.md
+23
-0
examples/Pipeline/PaddleClas/DarkNet53-encryption/README_CN.md
...les/Pipeline/PaddleClas/DarkNet53-encryption/README_CN.md
+24
-0
examples/Pipeline/PaddleClas/DarkNet53-encryption/config.yml
examples/Pipeline/PaddleClas/DarkNet53-encryption/config.yml
+25
-0
examples/Pipeline/PaddleClas/DarkNet53-encryption/daisy.jpg
examples/Pipeline/PaddleClas/DarkNet53-encryption/daisy.jpg
+0
-0
examples/Pipeline/PaddleClas/DarkNet53-encryption/encrypt.py
examples/Pipeline/PaddleClas/DarkNet53-encryption/encrypt.py
+15
-0
examples/Pipeline/PaddleClas/DarkNet53-encryption/get_model.sh
...les/Pipeline/PaddleClas/DarkNet53-encryption/get_model.sh
+5
-0
examples/Pipeline/PaddleClas/DarkNet53-encryption/http_client.py
...s/Pipeline/PaddleClas/DarkNet53-encryption/http_client.py
+20
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examples/Pipeline/PaddleClas/DarkNet53-encryption/https_client.py
.../Pipeline/PaddleClas/DarkNet53-encryption/https_client.py
+20
-0
examples/Pipeline/PaddleClas/DarkNet53-encryption/imagenet.label
...s/Pipeline/PaddleClas/DarkNet53-encryption/imagenet.label
+1000
-0
examples/Pipeline/PaddleClas/DarkNet53-encryption/web_service.py
...s/Pipeline/PaddleClas/DarkNet53-encryption/web_service.py
+71
-0
python/paddle_serving_server/serve.py
python/paddle_serving_server/serve.py
+12
-2
python/pipeline/operator.py
python/pipeline/operator.py
+13
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未找到文件。
examples/Pipeline/PaddleClas/DarkNet53-encryption/README.md
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# 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
python encrypt.py
```
## Start server
```
python -m paddle_serving_server.serve --model encrypt_server/ --port 9400 --encryption_rpc_port 9401 --use_encryption_model &
python web_service.py &>log.txt &
```
## client test
```
python http_client.py
```
if you configure the api gateway, you can use
`https_client.py`
examples/Pipeline/PaddleClas/DarkNet53-encryption/README_CN.md
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# Imagenet Pipeline WebService
这里以 Imagenet 服务为例来介绍 Pipeline WebService 的使用。
## 获取模型
```
sh get_model.sh
python encrypt.py
```
## 启动服务
```
python -m paddle_serving_server.serve --model encrypt_server/ --port 9400 --encryption_rpc_port 9401 --use_encryption_model &
python web_service.py &>log.txt &
```
## 测试
```
python http_client.py
```
如果您已经配置好了api gateway, 您可以使用
`https_client.py`
~
examples/Pipeline/PaddleClas/DarkNet53-encryption/config.yml
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#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
client_type
:
brpc
retry
:
1
timeout
:
3000
server_endpoints
:
[
"
127.0.0.1:9403"
]
client_config
:
"
encrypt_client"
fetch_list
:
[
"
save_infer_model/scale_0.tmp_0"
]
batch_size
:
1
auto_batching_timeout
:
2000
use_encryption_model
:
True
encryption_key
:
"
./key"
examples/Pipeline/PaddleClas/DarkNet53-encryption/daisy.jpg
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38.8 KB
examples/Pipeline/PaddleClas/DarkNet53-encryption/encrypt.py
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from
paddle_serving_client.io
import
inference_model_to_serving
def
serving_encryption
():
inference_model_to_serving
(
dirname
=
"./DarkNet53/ppcls_model/"
,
model_filename
=
"__model__"
,
params_filename
=
"./__params__"
,
serving_server
=
"encrypt_server"
,
serving_client
=
"encrypt_client"
,
encryption
=
True
)
if
__name__
==
"__main__"
:
serving_encryption
()
examples/Pipeline/PaddleClas/DarkNet53-encryption/get_model.sh
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wget
--no-check-certificate
https://paddle-serving.bj.bcebos.com/model/DarkNet53.tar
tar
-xf
DarkNet53.tar
wget
--no-check-certificate
https://paddle-serving.bj.bcebos.com/imagenet-example/image_data.tar.gz
tar
-xzvf
image_data.tar.gz
examples/Pipeline/PaddleClas/DarkNet53-encryption/http_client.py
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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
)
header
=
{
"Content-Type"
:
"application/json"
,
"apikey"
:
"WeJn7tVjuujtGxBgl6cWRGpmL2VMEBdb"
,
"X-INSTANCE-ID"
:
"kong_ins10"
}
data
=
{
"key"
:
[
"image"
],
"value"
:
[
image
]}
for
i
in
range
(
1
):
r
=
requests
.
post
(
url
=
url
,
data
=
json
.
dumps
(
data
))
print
(
r
.
json
())
examples/Pipeline/PaddleClas/DarkNet53-encryption/https_client.py
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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
=
"https://10.21.8.132:8443/image-clas/imagenet/prediction"
with
open
(
os
.
path
.
join
(
"."
,
"daisy.jpg"
),
'rb'
)
as
file
:
image_data1
=
file
.
read
()
image
=
cv2_to_base64
(
image_data1
)
headers
=
{
"Content-Type"
:
"application/json"
,
"apikey"
:
"BlfvO08Z9mQpFjcMagl2dxOIA8h2UVdp"
,
"X-INSTANCE-ID"
:
"kong_ins10"
}
data
=
{
"key"
:
[
"image"
],
"value"
:
[
image
]}
for
i
in
range
(
1
):
r
=
requests
.
post
(
url
=
url
,
headers
=
headers
,
data
=
json
.
dumps
(
data
),
verify
=
False
)
print
(
r
.
json
())
examples/Pipeline/PaddleClas/DarkNet53-encryption/imagenet.label
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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
examples/Pipeline/PaddleClas/DarkNet53-encryption/web_service.py
0 → 100644
浏览文件 @
633d04dd
# 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
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
,
data_id
=
0
,
log_id
=
0
):
score_list
=
fetch_dict
[
"save_infer_model/scale_0.tmp_0"
]
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
()
python/paddle_serving_server/serve.py
浏览文件 @
633d04dd
...
...
@@ -184,6 +184,12 @@ def serve_args():
default
=
False
,
action
=
"store_true"
,
help
=
"Use encryption model"
)
parser
.
add_argument
(
"--encryption_rpc_port"
,
type
=
int
,
required
=
False
,
default
=
12000
,
help
=
"Port of encryption model, only valid for arg.use_encryption_model"
)
parser
.
add_argument
(
"--use_trt"
,
default
=
False
,
action
=
"store_true"
,
help
=
"Use TensorRT"
)
parser
.
add_argument
(
...
...
@@ -352,8 +358,11 @@ def start_multi_card(args, serving_port=None): # pylint: disable=doc-string-mis
class
MainService
(
BaseHTTPRequestHandler
):
#def __init__(self):
# print("MainService ___init________\n")
def
get_available_port
(
self
):
default_port
=
12000
global
encryption_rpc_port
default_port
=
encryption_rpc_port
for
i
in
range
(
1000
):
if
port_is_available
(
default_port
+
i
):
return
default_port
+
i
...
...
@@ -553,7 +562,8 @@ if __name__ == "__main__":
p_flag
=
False
p
=
None
serving_port
=
0
server
=
HTTPServer
((
'0.0.0.0'
,
int
(
args
.
port
)),
MainService
)
encryption_rpc_port
=
args
.
encryption_rpc_port
server
=
HTTPServer
((
'localhost'
,
int
(
args
.
port
)),
MainService
)
print
(
'Starting encryption server, waiting for key from client, use <Ctrl-C> to stop'
)
...
...
python/pipeline/operator.py
浏览文件 @
633d04dd
...
...
@@ -102,6 +102,8 @@ class Op(object):
self
.
_retry
=
max
(
1
,
retry
)
self
.
_batch_size
=
batch_size
self
.
_auto_batching_timeout
=
auto_batching_timeout
self
.
_use_encryption_model
=
None
self
.
_encryption_key
=
""
self
.
_input
=
None
self
.
_outputs
=
[]
...
...
@@ -161,6 +163,11 @@ class Op(object):
self
.
_fetch_names
=
conf
.
get
(
"fetch_list"
)
if
self
.
_client_config
is
None
:
self
.
_client_config
=
conf
.
get
(
"client_config"
)
if
self
.
_use_encryption_model
is
None
:
print
(
"config use_encryption model here"
,
conf
.
get
(
"use_encryption_model"
))
self
.
_use_encryption_model
=
conf
.
get
(
"use_encryption_model"
)
if
self
.
_encryption_key
is
None
or
self
.
_encryption_key
==
""
:
self
.
_encryption_key
=
conf
.
get
(
"encryption_key"
)
if
self
.
_timeout
is
None
:
self
.
_timeout
=
conf
[
"timeout"
]
if
self
.
_timeout
>
0
:
...
...
@@ -409,7 +416,12 @@ class Op(object):
self
.
_fetch_names
=
client
.
fetch_names_
_LOGGER
.
info
(
"Op({}) has no fetch name set. So fetch all vars"
)
if
self
.
client_type
!=
"local_predictor"
:
client
.
connect
(
server_endpoints
)
if
self
.
_use_encryption_model
is
None
or
self
.
_use_encryption_model
is
False
:
client
.
connect
(
server_endpoints
)
else
:
print
(
"connect to encryption rpc client"
)
client
.
use_key
(
self
.
_encryption_key
)
client
.
connect
(
server_endpoints
,
encryption
=
True
)
_LOGGER
.
info
(
"init_client, feed_list:{}, fetch_list: {}"
.
format
(
self
.
right_feed_names
,
self
.
right_fetch_names
))
return
client
...
...
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