解决冲突
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5d248b168f
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@ -26,6 +26,8 @@ void DBDetector::LoadModel(const std::string &model_dir) {
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config.DisableGpu();
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if (this->use_mkldnn_) {
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config.EnableMKLDNN();
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// cache 10 different shapes for mkldnn to avoid memory leak
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config.SetMkldnnCacheCapacity(10);
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}
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config.SetCpuMathLibraryNumThreads(this->cpu_math_library_num_threads_);
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}
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@ -129,6 +129,8 @@ void CRNNRecognizer::LoadModel(const std::string &model_dir) {
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config.DisableGpu();
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if (this->use_mkldnn_) {
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config.EnableMKLDNN();
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// cache 10 different shapes for mkldnn to avoid memory leak
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config.SetMkldnnCacheCapacity(10);
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}
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config.SetCpuMathLibraryNumThreads(this->cpu_math_library_num_threads_);
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}
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@ -3,24 +3,25 @@ use_gpu 0
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gpu_id 0
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gpu_mem 4000
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cpu_math_library_num_threads 10
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use_mkldnn 0
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use_zero_copy_run 0
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use_mkldnn 1
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use_zero_copy_run 1
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# det config
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max_side_len 960
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det_db_thresh 0.3
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det_db_box_thresh 0.5
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det_db_unclip_ratio 2.0
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det_model_dir ../model/det
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det_model_dir ./inference/det_db
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# cls config
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use_angle_cls 0
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cls_model_dir ../model/cls
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cls_model_dir ../inference/cls
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cls_thresh 0.9
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# rec config
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rec_model_dir ../model/rec
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char_list_file ../model/ppocr_keys_v1.txt
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rec_model_dir ./inference/rec_crnn
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char_list_file ../../ppocr/utils/ppocr_keys_v1.txt
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# show the detection results
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visualize 1
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visualize 1
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@ -20,7 +20,7 @@ git clone https://github.com/PaddlePaddle/PaddleOCR.git
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```
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b. Goto Dockerfile directory(ps:Need to distinguish between cpu and gpu version, the following takes cpu as an example, gpu version needs to replace the keyword)
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```
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cd docker/cpu
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cd deploy/docker/cpu
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```
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c. Build image
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```
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@ -20,7 +20,7 @@ git clone https://github.com/PaddlePaddle/PaddleOCR.git
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```
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b.切换至Dockerfile目录(注:需要区分cpu或gpu版本,下文以cpu为例,gpu版本需要替换一下关键字即可)
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```
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cd docker/cpu
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cd deploy/docker/cpu
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```
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c.生成镜像
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```
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@ -90,15 +90,3 @@ def check_and_read_gif(img_path):
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return imgvalue, True
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return None, False
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def create_multi_devices_program(program, loss_var_name):
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build_strategy = fluid.BuildStrategy()
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build_strategy.memory_optimize = False
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build_strategy.enable_inplace = True
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exec_strategy = fluid.ExecutionStrategy()
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exec_strategy.num_iteration_per_drop_scope = 1
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compile_program = fluid.CompiledProgram(program).with_data_parallel(
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loss_name=loss_var_name,
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build_strategy=build_strategy,
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exec_strategy=exec_strategy)
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return compile_program
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@ -133,7 +133,6 @@ def main(args):
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image_file_list = get_image_file_list(args.image_dir)
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text_sys = TextSystem(args)
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is_visualize = True
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tackle_img_num = 0
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for image_file in image_file_list:
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img, flag = check_and_read_gif(image_file)
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if not flag:
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@ -142,9 +141,6 @@ def main(args):
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logger.info("error in loading image:{}".format(image_file))
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continue
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starttime = time.time()
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tackle_img_num += 1
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if not args.use_gpu and args.enable_mkldnn and tackle_img_num % 30 == 0:
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text_sys = TextSystem(args)
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dt_boxes, rec_res = text_sys(img)
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elapse = time.time() - starttime
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print("Predict time of %s: %.3fs" % (image_file, elapse))
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@ -112,6 +112,8 @@ def create_predictor(args, mode):
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config.disable_gpu()
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config.set_cpu_math_library_num_threads(6)
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if args.enable_mkldnn:
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# cache 10 different shapes for mkldnn to avoid memory leak
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config.set_mkldnn_cache_capacity(10)
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config.enable_mkldnn()
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# config.enable_memory_optim()
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