From b4b9e9f46c4ddbb8c3a82aebd480c061f5fe2f05 Mon Sep 17 00:00:00 2001 From: wxywb Date: Fri, 28 Oct 2022 17:00:37 +0800 Subject: [PATCH] update the operator. Signed-off-by: wxywb --- .DS_Store | Bin 6148 -> 8196 bytes README.md | 14 ++++++-------- cap.png | Bin 0 -> 7495 bytes language_model/dataclass.py | 5 ----- language_model/simctg.py | 4 ---- language_model/train.py | 1 - language_model/trainer.py | 6 ------ requirements.txt | 4 ++++ tab.png | Bin 0 -> 91696 bytes 9 files changed, 10 insertions(+), 24 deletions(-) create mode 100644 cap.png create mode 100644 tab.png diff --git a/.DS_Store b/.DS_Store index 0f450d5f94f0455bc3367ce02859a3e89bd19233..4412f0665551dff0ef2944ca5458a3adcdf3b6c2 100644 GIT binary patch literal 8196 zcmeHMyKWOf6g^`sVz59iBP68#0*6pjm}pZ(0tzgUpa9~BjHO+#vDXqwfh+_SP51#i zY8oVdfF>P}hJuE#KuAb%?##%Ueb`VTl+0K&cYGgn=bn4Vo7n(RTeIFKunwTcF0@hS zP|`#$z0fL_bCFch9?@X4-A&?gLDMrl0v-X6fJeY1;1T#=5a2UgT5ZX5-$?!F5%36{ zNCf2fAz&BUvUF~!{^{VLuK=V~vUTIUArsQT(w3!jLn&cX#+1~UDtpCH#+>}X>a{GL z8*0pE%bt(1=+I`0Nf2Q)<;_xTxOB);{$i81zeqNHm*$zc{R&0o5S5!TSf zF7-rrgh5XG4K-dZ*B+;xYqM!Oq1Gj|v4<%=_Yq?Qw~-*ijPpLZ8wlwoW#7Ope(z(V zx%=E}#Lp1>lxWlz^fG5LEri?Uys%e#zhS-SqM&Zw#+A}KVPvK8Dan@`UzJv}n{f#a zE@}(COpbBy4%b`A+#EN)?EE}P%jB6H;{%t*dG2mk@nLhIzGrk^Y zQFhPj2ld@Oue8m^aro&^zTDW}em|Vq`d#V6jrVVDG8mYrQO&7}k_y*3b>lvRo7iUE zhqzAKq;)Tc)QcQaXNwkilC#NIPJJ{=v} zONJ-q^;#L^cDlxMBWEcw)t>WFJiQt1OwQHkcU(KSo}1;bug|HMrh*GvM|HehE0f8} z0iF5g5jaK&oHDVj%l&_Q`TPH46tNG*Bj6FpBcQ5bJKQ4I-mUX;eN_+0ePAV`H)ki+ sCLA&^0{DIL4@1ras)}OE(z&7Ju>JEF0lYi7f7kivzfOZ6P8b5e0sB*48UO$Q delta 215 zcmZp1XfcprU|?W$DortDU=RQ@Ie-{MGjUE#6q~50$jGxXU^gQp&tx6}$vDQSDL^R} z20ey!hD?T%+ @@ -37,11 +37,11 @@ import towhee towhee.glob['path']('./image.jpg') \ .image_decode['path', 'img']() \ - .image_captioning.magic['img', 'text'](model_name='expansionnet_rf') \ + .image_captioning.magic['img', 'text'](model_name='magic_mscoco') \ .select['img', 'text']() \ .show() ``` -result2 +result2
@@ -51,7 +51,7 @@ towhee.glob['path']('./image.jpg') \ Create the operator via the following factory method -***expansionnet_v2(model_name)*** +***magic(model_name)*** **Parameters:** @@ -64,16 +64,14 @@ Create the operator via the following factory method ## Interface -An image-text embedding operator takes a [towhee image](link/to/towhee/image/api/doc) as input and generate the correspoing caption. +An image captioning operator takes a [towhee image](link/to/towhee/image/api/doc) as input and generate the correspoing caption. **Parameters:** ​ ***data:*** *towhee.types.Image (a sub-class of numpy.ndarray)* -​ The image to generate embedding. - - +​ The image to generate caption. **Returns:** *str* diff --git a/cap.png b/cap.png new file mode 100644 index 0000000000000000000000000000000000000000..0fbc5c70dc5e4a489077ef93799787d4ee5666d0 GIT binary patch literal 7495 zcmdUUWmr^Q*YE&CBQ-QqgM=_JGzdrzr8KB?!+@kP(k)#&Dhd+PA=0Tdh@gakf&)q@ 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lines[i].strip('\n') self.process_one_text(text, res_token_list, res_token_id_list) - p.finish() print ('{} processed!'.format(path)) return res_token_list, res_token_id_list diff --git a/language_model/simctg.py b/language_model/simctg.py index 25599e9..234330c 100644 --- a/language_model/simctg.py +++ b/language_model/simctg.py @@ -1,7 +1,6 @@ import os import sys import operator -from tqdm import tqdm from operator import itemgetter import torch from torch import nn @@ -13,9 +12,6 @@ from torch.nn import CrossEntropyLoss from loss_func import contrastive_loss from utlis import PlugAndPlayContrastiveDecodingOneStepFast -import seaborn as sns -import matplotlib.pyplot as plt -import pandas as pd import datetime train_fct = CrossEntropyLoss() diff --git a/language_model/train.py b/language_model/train.py index f401e44..21823d5 100644 --- a/language_model/train.py +++ b/language_model/train.py @@ -8,7 +8,6 @@ import random import numpy as np import time import logging -import progressbar import logging logging.getLogger('transformers.generation_utils').disabled = True diff --git a/language_model/trainer.py b/language_model/trainer.py index e51a850..8ff5919 100644 --- a/language_model/trainer.py +++ b/language_model/trainer.py @@ -8,9 +8,7 @@ import random import numpy as np import time import logging -import progressbar -import logging logging.getLogger('transformers.generation_utils').disabled = True def eval_model(args, model, data, cuda_available, device): @@ -19,10 +17,7 @@ def eval_model(args, model, data, cuda_available, device): val_loss, token_sum = 0., 0. model.eval() with torch.no_grad(): - p = progressbar.ProgressBar(eval_step) - p.start() for idx in range(eval_step): - p.update(idx) batch_input_tensor, batch_labels, _ = \ data.get_next_validation_batch(batch_size=dataset_batch_size, mode='test') if cuda_available: @@ -33,7 +28,6 @@ def eval_model(args, model, data, cuda_available, device): one_val_token_sum = torch.sum(one_val_token_sum) val_loss += one_val_loss.item() token_sum += one_val_token_sum.item() - p.finish() model.train() val_loss = val_loss / token_sum return val_loss diff --git a/requirements.txt b/requirements.txt index e69de29..e31a54b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -0,0 +1,4 @@ +torch +torchvision +numpy +transformers diff --git a/tab.png b/tab.png new file mode 100644 index 0000000000000000000000000000000000000000..6bb1f5dbc317c8f30183ca89caea4f64683ef98d GIT binary patch literal 91696 zcmc$`bzGFq7dO1Sq#z*;QlgZkbhmVO_tM?X0wSOyAQIBj-Q7roba!`m!?SpMhrjoI z{(koJx%Rqtu9SizosBpg{lt2tb5~ro{OP(nEg; znF|ZcO9%^-$~)Mam|KAX0ICQheSHjZTB7DFrHg5Alkhn(1_KljelnMdMo8sMJlWa_Xe&q4mi{FD-{Pw zm`bIEnL$HNtfi~DE7%W+HIF`)Yzt|PQ1}G%BDyTbuf>552BwTii1z*sOzXH4JUri% zcdoQ^Quc8r&))SlB>MR|Pd_{)x8mbXvf|_2>pna@T%1F{ z=wae~Kl&{-vjary^q$oZzQueE!d~D3A&O z^D7+$00fx>V1MV4h29@O;n3@`%wKnyFYf^e&|etP%Pj@;cW%&N3e4ZnkC_1gK_y`c z3FuwP$N>ztaWu1a!n!mUh9*3*6W4GA0C313FQA0tt3xRLadTyLCv_QVE+boOdIMuy 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