fix obj365 label and config (#2330)

configs/obj365/cascade_rcnn_cls_aware_r200_vd_fpn_dcnv2_nonlocal_softnms.yml

@@ -189,7 +189,7 @@ TestReader:
     fields: ['image', 'im_info', 'im_id', 'im_shape']
   dataset:
     !ImageFolder
-    anno_path: annotations/instances_val2017.json
+    anno_path: dataset/coco/objects365_label.txt
   sample_transforms:
   - !DecodeImage
     to_rgb: true

configs/obj365/cascade_rcnn_dcnv2_se154_vd_fpn_gn_cas.yml

@@ -221,10 +221,12 @@ EvalReader:
   worker_num: 2
 
 TestReader:
+  inputs_def:
+    fields: ['image', 'im_info', 'im_id', 'im_shape']
   batch_size: 1
   dataset:
     !ImageFolder
-    anno_path: dataset/obj365/annotations/val.json
+    anno_path: dataset/coco/objects365_label.txt
   sample_transforms:
   - !DecodeImage
     to_rgb: True

dataset/coco/objects365_label.txt

+person
+sneakers
+chair
+hat
+lamp
+bottle
+cabinet/shelf
+cup
+car
+glasses
+picture/frame
+desk
+handbag
+street lights
+book
+plate
+helmet
+leather shoes
+pillow
+glove
+potted plant
+bracelet
+flower
+tv
+storage box
+vase
+bench
+wine glass
+boots
+bowl
+dining table
+umbrella
+boat
+flag
+speaker
+trash bin/can
+stool
+backpack
+couch
+belt
+carpet
+basket
+towel/napkin
+slippers
+barrel/bucket
+coffee table
+suv
+toy
+tie
+bed
+traffic light
+pen/pencil
+microphone
+sandals
+canned
+necklace
+mirror
+faucet
+bicycle
+bread
+high heels
+ring
+van
+watch
+sink
+horse
+fish
+apple
+camera
+candle
+teddy bear
+cake
+motorcycle
+wild bird
+laptop
+knife
+traffic sign
+cell phone
+paddle
+truck
+cow
+power outlet
+clock
+drum
+fork
+bus
+hanger
+nightstand
+pot/pan
+sheep
+guitar
+traffic cone
+tea pot
+keyboard
+tripod
+hockey
+fan
+dog
+spoon
+blackboard/whiteboard
+balloon
+air conditioner
+cymbal
+mouse
+telephone
+pickup truck
+orange
+banana
+airplane
+luggage
+skis
+soccer
+trolley
+oven
+remote
+baseball glove
+paper towel
+refrigerator
+train
+tomato
+machinery vehicle
+tent
+shampoo/shower gel
+head phone
+lantern
+donut
+cleaning products
+sailboat
+tangerine
+pizza
+kite
+computer box
+elephant
+toiletries
+gas stove
+broccoli
+toilet
+stroller
+shovel
+baseball bat
+microwave
+skateboard
+surfboard
+surveillance camera
+gun
+life saver
+cat
+lemon
+liquid soap
+zebra
+duck
+sports car
+giraffe
+pumpkin
+piano
+stop sign
+radiator
+converter
+tissue
+carrot
+washing machine
+vent
+cookies
+cutting/chopping board
+tennis racket
+candy
+skating and skiing shoes
+scissors
+folder
+baseball
+strawberry
+bow tie
+pigeon
+pepper
+coffee machine
+bathtub
+snowboard
+suitcase
+grapes
+ladder
+pear
+american football
+basketball
+potato
+paint brush
+printer
+billiards
+fire hydrant
+goose
+projector
+sausage
+fire extinguisher
+extension cord
+facial mask
+tennis ball
+chopsticks
+electronic stove and gas stove
+pie
+frisbee
+kettle
+hamburger
+golf club
+cucumber
+clutch
+blender
+tong
+slide
+hot dog
+toothbrush
+facial cleanser
+mango
+deer
+egg
+violin
+marker
+ship
+chicken
+onion
+ice cream
+tape
+wheelchair
+plum
+bar soap
+scale
+watermelon
+cabbage
+router/modem
+golf ball
+pine apple
+crane
+fire truck
+peach
+cello
+notepaper
+tricycle
+toaster
+helicopter
+green beans
+brush
+carriage
+cigar
+earphone
+penguin
+hurdle
+swing
+radio
+CD
+parking meter
+swan
+garlic
+french fries
+horn
+avocado
+saxophone
+trumpet
+sandwich
+cue
+kiwi fruit
+bear
+fishing rod
+cherry
+tablet
+green vegetables
+nuts
+corn
+key
+screwdriver
+globe
+broom
+pliers
+volleyball
+hammer
+eggplant
+trophy
+dates
+board eraser
+rice
+tape measure/ruler
+dumbbell
+hamimelon
+stapler
+camel
+lettuce
+goldfish
+meat balls
+medal
+toothpaste
+antelope
+shrimp
+rickshaw
+trombone
+pomegranate
+coconut
+jellyfish
+mushroom
+calculator
+treadmill
+butterfly
+egg tart
+cheese
+pig
+pomelo
+race car
+rice cooker
+tuba
+crosswalk sign
+papaya
+hair drier
+green onion
+chips
+dolphin
+sushi
+urinal
+donkey
+electric drill
+spring rolls
+tortoise/turtle
+parrot
+flute
+measuring cup
+shark
+steak
+poker card
+binoculars
+llama
+radish
+noodles
+yak
+mop
+crab
+microscope
+barbell
+bread/bun
+baozi
+lion
+red cabbage
+polar bear
+lighter
+seal
+mangosteen
+comb
+eraser
+pitaya
+scallop
+pencil case
+saw
+table tennis paddle
+okra
+starfish
+eagle
+monkey
+durian
+game board
+rabbit
+french horn
+ambulance
+asparagus
+hoverboard
+pasta
+target
+hotair balloon
+chainsaw
+lobster
+iron
+flashlight
\ No newline at end of file

ppdet/utils/coco_eval.py

@@ -492,7 +492,34 @@ def get_category_info(anno_file=None,
         return coco17_category_info(with_background)
     else:
         logger.info("Load categories from {}".format(anno_file))
+        if anno_file.endswith('.json'):
             return get_category_info_from_anno(anno_file, with_background)
+        else:
+            return get_category_info_from_txt(anno_file, with_background)
+
+
+def get_category_info_from_txt(anno_file, with_background=True):
+    """
+    Get class id to category id map and category id
+    to category name map from txt file.
+
+    args:
+        anno_file (str): label txt file path.
+        with_background (bool, default True):
+            whether load background as class 0.
+    """
+    with open(anno_file, "r") as f:
+        catid_list = f.readlines()
+    clsid2catid = {}
+    catid2name = {}
+    for i, catid in enumerate(catid_list):
+        catid = catid.strip('\n\t\r')
+        clsid2catid[i + int(with_background)] = i + 1
+        catid2name[i + int(with_background)] = catid
+    if with_background:
+        clsid2catid.update({0: 0})
+        catid2name.update({0: 'background'})
+    return clsid2catid, catid2name
 
 
 def get_category_info_from_anno(anno_file, with_background=True):