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joint_inference: bug fix and interface reconstruction #117
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JoeyHwong-gk
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Jul 7, 2021
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- fix example bug: save result which get from cloud if is hard example
- Add docs and code comment
- rename: TSBigModelService -> BigModelService
- fix [Joint Inference] edge worker needs to fall back the available state when cannot connect cloud worker #133
image_paded = image_paded / 255. | ||
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preprocessed_data = image_paded.astype(np.float32)[np.newaxis, :] | ||
return preprocessed_data, org_img_shape |
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unify org_img_shape and ori_img_shape
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fix
@@ -12,12 +12,12 @@ | |||
# See the License for the specific language governing permissions and | |||
# limitations under the License. | |||
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import json | |||
import time |
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fix import rank
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fix
/assign @TymonXie |
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return ious | ||
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def nms(bboxes, iou_threshold, sigma=0.3, method='nms'): |
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what is mean by nms
?
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Resolved in below comments
pred_conf = pred_bbox[:, 4] | ||
pred_prob = pred_bbox[:, 5:] | ||
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# (1) (x, y, w, h) --> (xmin, ymin, xmax, ymax) |
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please put more information about this note
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fix
/assign @jaypume |
/help @llhuii |
cv2.putText(img_copy, text, (p1[1], p1[0] + 20 * (label + 1)), | ||
cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 0, 0), | ||
text_thickness, line_type) | ||
except TypeError as err: |
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Add the comment to explain that captures the TypeError
here.
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fix
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def inference(self, data=None, post_process=None, **kwargs): | ||
""" | ||
Inference task for IncrementalLearning |
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incremental in joint_inference file
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fix
:param data: inference sample | ||
:param post_process: post process | ||
:param kwargs: params for inference of customize estimator | ||
:return: if is hard sample, real result, |
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why not just return the final result?
inference_result = InferenceResult( | ||
*inference_instance.inference(img_rgb)) | ||
output_deal(inference_result, nframe, img_rgb) | ||
is_hard_example, final_result, edge_result, cloud_result = ( |
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From the user view, he may only care about the final inference result.
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We had a discussion before, user may need to compare the difference in the inference results of the big/little model. In this example, the user keeps all hard samples at the same time, and is considered to be able to find out any samples with low-confidence, for post-processing
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You also need to consider the users that don't care the image is hard or not.
/lgtm |
fix message when http connect fail Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>
- make the hard_example_mining alg to be a common interface - fix get_hem_from_config: raise exception when value is unexpected Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>
/hold cancel |
/approve |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: llhuii The full list of commands accepted by this bot can be found here. The pull request process is described here
Needs approval from an approver in each of these files:
Approvers can indicate their approval by writing |
/lgtm |
Upgrade to v0.4.0 Created-by: Vittorio Cozzolino 00609018 Author-id: 553076 MR-id: 12361350 Commit-by: Vittorio Cozzolino;KubeEdge Bot;JoeyHwong;JimmyYang20;ShiXiaohou;DanLiu;HenryChou;Yutong Wang;EnfangCui;llhuii;XinYao1994;Jie Pu;wei.ji Merged-by: Vittorio Cozzolino 00609018 E2E-issues: Description: fix incremental_learning bug - Add docs and code comment - fix bugs: epoch always be 1, inference result not saved, s3 upload fail Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Interface Improvement: 1. The algorithm of HardExampleMining should be seleted by the developer. Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, install.sh: fix LC_BIND_PORT bug rename the variable LC_BIND_PORT to SENDA_LC_BIND_PORT. Signed-off-by: llhuii <liulinghui@huawei.com>, Merge pull request kubeedge#121 from llhuii/fix-install-script-bug install.sh: fix LC_BIND_PORT bug, Update interface.py fix env missing bug Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, fix bug: aggregation of weights should occur in the AggServer Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, fix bug: Cloud worker not exiting Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, gm: refactor all features into independent dir All controllers are placed into globalmanager/controllers: 1. each feature has the independent subdirectory 2. upstream/downstream are kept as top level. Commom types/utils/worker.go are placed into globalmanager/runtime. Signed-off-by: llhuii <liulinghui@huawei.com>, fix PR comment - clean useless code - catch server exception in threads Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, gm: refactor upstream controller Split upstream controller, merge each feature CR logic code into its controller. Signed-off-by: llhuii <liulinghui@huawei.com>, gm: share client/Informer with all controllers Make all controllers sharing with: 1. kubernetes client, and informerFactory with random resync period. 2. sedna crd client, and informerFactory with random resync period. This can reduce code and improve slim performance. Signed-off-by: llhuii <liulinghui@huawei.com>, gm: add dataset controller Only handle dataset update from edge. Signed-off-by: llhuii <liulinghui@huawei.com>, Merge pull request kubeedge#106 from JoeyHwong-gk/federated fix federated learning bugs, gm: split all upstream logic into separate file Signed-off-by: llhuii <liulinghui@huawei.com>, gm: split all downstream logic into separate file Since all CR watch actions are placed into corresponding controller, controllers/downstream.go is unnecessary. Signed-off-by: llhuii <liulinghui@huawei.com>, LC: fix nil pointer dereference bug It happened in evalTask of incremental job when deploy model hasn't been synced to LC. evalTask should return error instead of logging error. And it doesn't need job id info into error, same as trainTask. Signed-off-by: JimmyYang20 <yangjin39@huawei.com>, Merge pull request kubeedge#139 from JimmyYang20/fixbug LC: fix nil pointer dereference bug, LC: send dataset update to GM only when changed number of samples has been sent to GM only when adding new data. Signed-off-by: JimmyYang20 <yangjin39@huawei.com>, Merge pull request kubeedge#137 from JimmyYang20/main LC: send dataset update to GM only when changed, lifelong learning s3 support - fix file_ops method - fix kb save bug Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Add object search and tracking docs to docs/proposals/ Add object search and tracking crd samples to build/crd-samples/sedna/ Add object search and tracking type.go files to pkg/apis/sedna/v1alpha1/ Signed-off-by: EnfangCui <17111008@bjtu.edu.cn>, Merge pull request kubeedge#100 from EnfangCui/add-multi-edge-inference-PR Add object search and tracking proposals, gm: more code clean after initial refactor done 1. remove the feature redundant name in all feature controllers(e.g. 'federatedlearningJob' to 'job'), since it has already own independent package, no need the feature extra name 2. upstream interface optimizaztion 3. fix empty Kind of all CR in downstream 4. add extra doc string 5. fix code style Signed-off-by: llhuii <liulinghui@huawei.com>, Fix the problem that kbimage cannot be compiled in Makefile Signed-off-by: wei.ji <wei.ji@easystack.cn>, improve lifelong learning docs 1. improve the atc example words 2. fix the broken links in lifelong proposal Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Merge pull request kubeedge#146 from Jw-Jm/main Fix the problem that kbimage cannot be compiled in Makefile, make the hard_example_mining alg to be a common interface Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Merge pull request kubeedge#134 from llhuii/refactor-gm gm: decouple all features into independent package, Merge pull request kubeedge#107 from JoeyHwong-gk/incremental [incremental learning] example:keep all results whether is hardExample or not, fixed the issue of using s3 to save model, Merge pull request kubeedge#143 from JoeyHwong-gk/lldoc improve lifelong learning docs, fix example bug: save result which get from cloud if is hard example fix message when http connect fail Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, fix pr comment - make the hard_example_mining alg to be a common interface - fix get_hem_from_config: raise exception when value is unexpected Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, lc: decouple all features into independent package Signed-off-by: JimmyYang20 <yangjin39@huawei.com>, Merge pull request kubeedge#117 from JoeyHwong-gk/joint joint_inference: bug fix and interface reconstruction, Merge pull request kubeedge#149 from JimmyYang20/refector-lc lc: decouple all features into independent package, fix lifelong issue - Reduce parameters for initial - show all interfaces of lifelong learning in example - fix bugs from deep learning framework Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, fix il doc Signed-off-by: JimmyYang20 <yangjin39@huawei.com>, Merge pull request kubeedge#153 from JimmyYang20/fix-doc Fix rendering issue of example doc in readthedocs, Merge pull request kubeedge#142 from JoeyHwong-gk/lls3 lifelong learning: issue-driven interface-adjustment and bug fix, fix the lifelong example problem from backend and constant - fix sklearn backend: support args in train/eval/infer - fix lifelong constant Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Automatic push images when publishing a release A github action is added for pushing image when a new release is created: 1. login docker hub. 2. checkout the project, and run `make push-all`. Signed-off-by: llhuii <liulinghui@huawei.com>, Merge pull request kubeedge#154 from JoeyHwong-gk/lifelong [Lifelong example]: fix the problem from backend and constant, docs: update install guide 1. add GM/LC links 2. add GM/LC deploy form Signed-off-by: llhuii <liulinghui@huawei.com>, Merge pull request kubeedge#155 from llhuii/add-image-push-gh-action Push images automatically when a new release is created, Merge pull request kubeedge#156 from llhuii/update-install-doc docs: update install guide, IL: LC supports to recover job when restart Signed-off-by: JimmyYang20 <yangjin39@huawei.com>, Merge pull request kubeedge#152 from JimmyYang20/fixbug IL: LC supports to recover job when restart, Fix IMAGE_REPO in github image-publish action Using the env 'GITHUB_REPOSITORY' instead of 'GITHUB_ACTOR' to get the right image repo name i.e. `IMAGE_REPO` in Makefile. Signed-off-by: llhuii <liulinghui@huawei.com>, add lib doc Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Improve the docs Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, fix syntax and information in the docs Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, update lib doc Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Update s3 example docs of IL&JI Signed-off-by: JimmyYang20 <yangjin39@huawei.com>, Support websocket reconnection Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Lib support hot model update Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Adjusting the Log of IncrementalLearning example Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Fix codegen verify checker Note the codegen verify checker should report error Signed-off-by: llhuii <liulinghui@huawei.com>, Add the missing gencode for objectsearch/tracking Signed-off-by: llhuii <liulinghui@huawei.com>, fix job_kind value in LC_report Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Update dependency of server request in lib - replace `retry==1.3.3` with `tenacity==8.0.1` because of `retry` no longer maintained. Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Merge pull request kubeedge#158 from llhuii/fix-imagerepo-of-image-publish-action Fix IMAGE_REPO in github image-publish action, Merge pull request kubeedge#164 from JoeyHwong-gk/federated Support websocket reconnection when the server status is abnormal, Merge pull request kubeedge#166 from llhuii/fix-verify-checker Fix codegen verify checker, Add contributing docs Signed-off-by: llhuii <liulinghui@huawei.com>, Merge pull request kubeedge#159 from JoeyHwong-gk/libdoc update lib doc, Merge pull request kubeedge#148 from llhuii/add-contributing-docs Add contributing docs, Merge pull request kubeedge#160 from JimmyYang20/doc-s3 Update s3 example docs of IL&JI, fix access exceptions when rendering with sphinx Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Merge pull request kubeedge#150 from JoeyHwong-gk/docs docs improvement, GM&LC: IL supports model hot updates Signed-off-by: JimmyYang20 <yangjin39@huawei.com>, fix pr comment Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Merge pull request kubeedge#138 from JimmyYang20/modelhotupdate GM&LC: IL supports model hot updates, Fix s3 example docs of IL&JI Signed-off-by: JimmyYang20 <yangjin39@huawei.com>, Merge pull request kubeedge#174 from JimmyYang20/doc-s3 Fix s3 example docs of IL&JI, Merge pull request kubeedge#157 from JoeyHwong-gk/hot_model [Lib Support] hot model update, Upgrade gorilla/websocket from v1.4.0 to v1.4.2 This upgrade fixes a potential DoS vector bug in gorilla/websocket 1.4.0, see GHSA-jf24-p9p9-4rjh Signed-off-by: llhuii <liulinghui@huawei.com>, Merge pull request kubeedge#182 from llhuii/upgrade-websocket Upgrade gorilla/websocket from v1.4.0 to v1.4.2, fix lib/requirements - This upgrade fixes a CSRF error in FastAPI version earlier than 0.65.2, see GHSA-8h2j-cgx8-6xv7 Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>, Merge pull request kubeedge#183 See merge request butterfly/sedna!9