"docs/git@developer.sourcefind.cn:renzhc/diffusers_dcu.git" did not exist on "914586f5b6e980b3bf4d235e0f04f3866caf9649"
- 19 Apr, 2022 1 commit
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Adrià Arrufat authored
* Add BGR(A) to pixel_traits * add support for reading webp * Apply Davis' suggestions and fix formatting * Fix signed/unsigned warning * Update decoding paths * update pixel traits documentation * Add support for writing WebP images * Simplify image_saver code * WIP: add tests, PSNR is low but images look good * Add lossless compression for quality > 100 * Fix build when WebP support is disabled * Use C++ stream instead of C-style FILE * Fix indentation * Use reinterpret_cast instead of C-style cast * Improve impl::impl_save_webp signature * Remove empty line * Use switch statement and clean up code * Update Copyright and test libwebp on Linux * Fix formatting in github workflow * Fix operator== for bgr_alpha_pixel * Show where the test fails * Add libwebp to CI for the remaining Linux workflows * Use filename consistently * Improve message with wrong pixel type * Fix tests for WebP images * Prevent saving images which are too large and improve error messages * Use max dimension from WebP header directly * Update documentation, index and release notes * Update dlib/image_saver/save_webp_abstract.h Co-authored-by:
Martin T. H. Sandsmark <martin.sandsmark@kde.org> Co-authored-by:
Davis E. King <davis685@gmail.com>
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- 20 Jan, 2020 1 commit
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Juha Reunanen authored
* Add new loss layer for binary loss per pixel
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- 15 Nov, 2019 1 commit
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Juha Reunanen authored
* Add instance segmentation example - first version of training code * Add MMOD options; get rid of the cache approach, and instead load all MMOD rects upfront * Improve console output * Set filter count * Minor tweaking * Inference - first version, at least compiles! * Ignore overlapped boxes * Ignore even small instances * Set overlaps_ignore * Add TODO remarks * Revert "Set overlaps_ignore" This reverts commit 65adeff1f89af62b10c691e7aa86c04fc358d03e. * Set result size * Set label image size * Take ignore-color into account * Fix the cropping rect's aspect ratio; also slightly expand the rect * Draw the largest findings last * Improve masking of the current instance * Add some perturbation to the inputs * Simplify ground-truth reading; fix random cropping * Read even class labels * Tweak default minibatch size * Learn only one class * Really train only instances of the selected class * Remove outdated TODO remark * Automatically skip images with no detections * Print to console what was found * Fix class index problem * Fix indentation * Allow to choose multiple classes * Draw rect in the color of the corresponding class * Write detector window classes to ostream; also group detection windows by class (when ostreaming) * Train a separate instance segmentation network for each classlabel * Use separate synchronization file for each seg net of each class * Allow more overlap * Fix sorting criterion * Fix interpolating the predicted mask * Improve bilinear interpolation: if output type is an integer, round instead of truncating * Add helpful comments * Ignore large aspect ratios; refactor the code; tweak some network parameters * Simplify the segmentation network structure; make the object detection network more complex in turn * Problem: CUDA errors not reported properly to console Solution: stop and join data loader threads even in case of exceptions * Minor parameters tweaking * Loss may have increased, even if prob_loss_increasing_thresh > prob_loss_increasing_thresh_max_value * Add previous_loss_values_dump_amount to previous_loss_values.size() when deciding if loss has been increasing * Improve behaviour when loss actually increased after disk sync * Revert some of the earlier change * Disregard dumped loss values only when deciding if learning rate should be shrunk, but *not* when deciding if loss has been going up since last disk sync * Revert "Revert some of the earlier change" This reverts commit 6c852124efe6473a5c962de0091709129d6fcde3. * Keep enough previous loss values, until the disk sync * Fix maintaining the dumped (now "effectively disregarded") loss values count * Detect cats instead of aeroplanes * Add helpful logging * Clarify the intention and the code * Review fixes * Add operator== for the other pixel types as well; remove the inline * If available, use constexpr if * Revert "If available, use constexpr if" This reverts commit 503d4dd3355ff8ad613116e3ffcc0fa664674f69. * Simplify code as per review comments * Keep estimating steps_without_progress, even if steps_since_last_learning_rate_shrink < iter_without_progress_thresh * Clarify console output * Revert "Keep estimating steps_without_progress, even if steps_since_last_learning_rate_shrink < iter_without_progress_thresh" This reverts commit 9191ebc7762d17d81cdfc334a80ca9a667365740. * To keep the changes to a bare minimum, revert the steps_since_last_learning_rate_shrink change after all (at least for now) * Even empty out some of the previous test loss values * Minor review fixes * Can't use C++14 features here * Do not use the struct name as a variable name
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