Merge remote-tracking branch 'origin/dygraph' into dygraph

deploy/cpp_infer/CMakeLists.txt

 project(ppocr CXX C)
+cmake_minimum_required(VERSION 3.14)
 
 option(WITH_MKL        "Compile demo with MKL/OpenBlas support, default use MKL."       ON)
 option(WITH_GPU        "Compile demo with GPU/CPU, default use CPU."                    OFF)
@@ -206,13 +207,12 @@ endif()
 
 set(DEPS ${DEPS} ${OpenCV_LIBS})
 
-include(ExternalProject)
+include(FetchContent)
 include(external-cmake/auto-log.cmake)
-include_directories(${CMAKE_CURRENT_BINARY_DIR}/autolog/src/extern_Autolog/auto_log)
+include_directories(${FETCHCONTENT_BASE_DIR}/extern_autolog-src)
 
 AUX_SOURCE_DIRECTORY(./src SRCS)
 add_executable(${DEMO_NAME} ${SRCS})
-
 target_link_libraries(${DEMO_NAME} ${DEPS})
 
 if (WIN32 AND WITH_MKL)

deploy/cpp_infer/external-cmake/auto-log.cmake

 find_package(Git REQUIRED)
-message("${CMAKE_BUILD_TYPE}")
+include(FetchContent)
 
-set(AUTOLOG_REPOSITORY     https://github.com/LDOUBLEV/AutoLog.git)
-SET(AUTOLOG_INSTALL_DIR   ${CMAKE_CURRENT_BINARY_DIR}/install/Autolog)
+set(FETCHCONTENT_BASE_DIR "${CMAKE_CURRENT_BINARY_DIR}/third-party")
 
-ExternalProject_Add(
+FetchContent_Declare(
   extern_Autolog
   PREFIX autolog
-    GIT_REPOSITORY ${AUTOLOG_REPOSITORY}
+  GIT_REPOSITORY https://github.com/LDOUBLEV/AutoLog.git
   GIT_TAG        main
-    DOWNLOAD_NO_EXTRACT True
-    INSTALL_COMMAND cmake -E echo "Skipping install step."
 )
+FetchContent_MakeAvailable(extern_Autolog)
+

deploy/cpp_infer/src/main.cpp

@@ -35,6 +35,7 @@
 #include <sys/stat.h>
 
 #include <gflags/gflags.h>
+#include "auto_log/autolog.h"
 
 DEFINE_bool(use_gpu, false, "Infering with GPU or CPU.");
 DEFINE_int32(gpu_id, 0, "Device id of GPU to execute.");

tests/compare_results.py

+import numpy as np
+import os
+import subprocess
+import json
+import argparse
+import glob
+
+
+def init_args():
+    parser = argparse.ArgumentParser()
+    # params for testing assert allclose
+    parser.add_argument("--atol", type=float, default=1e-3)
+    parser.add_argument("--rtol", type=float, default=1e-3)
+    parser.add_argument("--gt_file", type=str, default="")
+    parser.add_argument("--log_file", type=str, default="")
+    parser.add_argument("--precision", type=str, default="fp32")
+    return parser
+
+
+def parse_args():
+    parser = init_args()
+    return parser.parse_args()
+
+
+def run_shell_command(cmd):
+    p = subprocess.Popen(
+        cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
+    out, err = p.communicate()
+
+    if p.returncode == 0:
+        return out.decode('utf-8')
+    else:
+        return None
+
+
+def parser_results_from_log_by_name(log_path, names_list):
+    if not os.path.exists(log_path):
+        raise ValueError("The log file {} does not exists!".format(log_path))
+
+    if names_list is None or len(names_list) < 1:
+        return []
+
+    parser_results = {}
+    for name in names_list:
+        cmd = "grep {} {}".format(name, log_path)
+        outs = run_shell_command(cmd)
+        outs = outs.split("\n")[0]
+        result = outs.split("{}".format(name))[-1]
+        result = json.loads(result)
+        parser_results[name] = result
+    return parser_results
+
+
+def load_gt_from_file(gt_file):
+    if not os.path.exists(gt_file):
+        raise ValueError("The log file {} does not exists!".format(gt_file))
+    with open(gt_file, 'r') as f:
+        data = f.readlines()
+        f.close()
+    parser_gt = {}
+    for line in data:
+        image_name, result = line.strip("\n").split("\t")
+        result = json.loads(result)
+        parser_gt[image_name] = result
+    return parser_gt
+
+
+def load_gt_from_txts(gt_file):
+    gt_list = glob.glob(gt_file)
+    gt_collection = {}
+    for gt_f in gt_list:
+        gt_dict = load_gt_from_file(gt_f)
+        basename = os.path.basename(gt_f)
+        if "fp32" in basename:
+            gt_collection["fp32"] = [gt_dict, gt_f]
+        elif "fp16" in basename:
+            gt_collection["fp16"] = [gt_dict, gt_f]
+        elif "int8" in basename:
+            gt_collection["int8"] = [gt_dict, gt_f]
+        else:
+            continue
+    return gt_collection
+
+
+def collect_predict_from_logs(log_path, key_list):
+    log_list = glob.glob(log_path)
+    pred_collection = {}
+    for log_f in log_list:
+        pred_dict = parser_results_from_log_by_name(log_f, key_list)
+        key = os.path.basename(log_f)
+        pred_collection[key] = pred_dict
+
+    return pred_collection
+
+
+def testing_assert_allclose(dict_x, dict_y, atol=1e-7, rtol=1e-7):
+    for k in dict_x:
+        np.testing.assert_allclose(
+            np.array(dict_x[k]), np.array(dict_y[k]), atol=atol, rtol=rtol)
+
+
+if __name__ == "__main__":
+    # Usage:
+    # python3.7 tests/compare_results.py --gt_file=./tests/results/*.txt  --log_file=./tests/output/infer_*.log
+
+    args = parse_args()
+
+    gt_collection = load_gt_from_txts(args.gt_file)
+    key_list = gt_collection["fp32"][0].keys()
+
+    pred_collection = collect_predict_from_logs(args.log_file, key_list)
+    for filename in pred_collection.keys():
+        if "fp32" in filename:
+            gt_dict, gt_filename = gt_collection["fp32"]
+        elif "fp16" in filename:
+            gt_dict, gt_filename = gt_collection["fp16"]
+        elif "int8" in filename:
+            gt_dict, gt_filename = gt_collection["int8"]
+        else:
+            continue
+        pred_dict = pred_collection[filename]
+
+        try:
+            testing_assert_allclose(
+                gt_dict, pred_dict, atol=args.atol, rtol=args.rtol)
+            print(
+                "Assert allclose passed! The results of {} and {} are consistent!".
+                format(filename, gt_filename))
+        except Exception as E:
+            print(E)
+            raise ValueError(
+                "The results of {} and the results of {} are inconsistent!".
+                format(filename, gt_filename))

tests/results/det_results_gpu_fp32.txt

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+00037951.jpg	[[[434, 976], [551, 978], [550, 993], [434, 991]], [[433, 932], [553, 932], [553, 969], [433, 969]], [[30, 522], [98, 522], [98, 545], [30, 545]], [[31, 443], [145, 443], [145, 464], [31, 464]], [[234, 335], [326, 332], [327, 354], [235, 356]], [[124, 252], [436, 252], [436, 284], [124, 284]], [[182, 206], [378, 206], [378, 227], [182, 227]], [[258, 106], [320, 123], [304, 181], [242, 163]], [[28, 65], [33, 65], [33, 71], [28, 71]], [[37, 58], [147, 58], [147, 80], [37, 80]]]
+00044782.jpg	[[[104, 218], [115, 218], [115, 227], [104, 227]], [[223, 216], [246, 216], [246, 228], [223, 228]], [[163, 216], [182, 216], [182, 229], [163, 229]], [[124, 191], [164, 191], [164, 202], [124, 202]], [[91, 84], [251, 84], [251, 98], [91, 98]], [[73, 63], [278, 63], [278, 78], [73, 78]], [[104, 15], [243, 15], [243, 44], [104, 44]]]
+00067516.jpg	[[[141, 808], [594, 809], [594, 822], [141, 821]], [[49, 784], [696, 784], [696, 798], [49, 798]], [[579, 751], [667, 751], [667, 764], [579, 764]], [[355, 750], [395, 750], [395, 767], [355, 767]], [[221, 751], [260, 751], [260, 765], [221, 765]], [[477, 750], [501, 750], [501, 768], [477, 768]], [[69, 748], [133, 751], [132, 765], [68, 761]], [[576, 682], [668, 682], [668, 699], [576, 699]], [[476, 682], [518, 682], [518, 700], [476, 700]], [[354, 682], [395, 682], [395, 700], [354, 700]], [[69, 681], [133, 684], [132, 699], [68, 695]], [[220, 679], [243, 682], [241, 700], [218, 697]], [[577, 615], [667, 615], [667, 632], [577, 632]], [[68, 612], [134, 615], [133, 632], [67, 629]], [[476, 614], [500, 614], [500, 633], [476, 633]], [[354, 613], [378, 613], [378, 634], [354, 634]], [[219, 612], [245, 612], [245, 633], [219, 633]], [[578, 547], [667, 547], [667, 564], [578, 564]], [[476, 546], [518, 546], [518, 565], [476, 565]], [[353, 545], [379, 545], [379, 566], [353, 566]], [[219, 545], [245, 545], [245, 566], [219, 566]], [[68, 542], [133, 546], [132, 563], [67, 560]], [[68, 478], [133, 482], [132, 499], [67, 496]], [[586, 481], [664, 481], [664, 497], [586, 497]], [[476, 480], [518, 480], [518, 498], [476, 498]], [[354, 480], [395, 480], [395, 498], [354, 498]], [[219, 479], [245, 479], [245, 500], [219, 500]], [[580, 425], [665, 429], [664, 449], [580, 446]], [[346, 429], [410, 429], [410, 447], [346, 447]], [[68, 426], [150, 429], [149, 449], [67, 447]], [[474, 427], [515, 427], [515, 449], [474, 449]], [[218, 427], [259, 427], [259, 449], [218, 449]], [[283, 398], [478, 399], [478, 419], [283, 418]], [[86, 318], [664, 318], [664, 332], [86, 332]], [[65, 279], [665, 279], [665, 292], [65, 292]], [[458, 210], [584, 210], [584, 224], [458, 224]], [[313, 209], [372, 209], [372, 226], [313, 226]], [[164, 209], [225, 209], [225, 226], [164, 226]], [[505, 151], [539, 151], [539, 166], [505, 166]], [[266, 48], [483, 48], [483, 68], [266, 68]]]
+00088568.jpg	[[[341, 446], [371, 446], [371, 453], [341, 453]], [[58, 445], [117, 445], [117, 455], [58, 455]], [[552, 433], [571, 433], [571, 440], [552, 440]], [[583, 431], [740, 431], [740, 442], [583, 442]], [[311, 415], [743, 415], [743, 428], [311, 428]], [[311, 377], [736, 377], [736, 390], [311, 390]], [[425, 340], [551, 340], [551, 350], [425, 350]], [[287, 324], [294, 332], [289, 337], [281, 330]], [[276, 294], [348, 296], [347, 311], [276, 309]], [[54, 288], [210, 288], [210, 301], [54, 301]], [[275, 265], [421, 265], [421, 278], [275, 278]], [[56, 264], [248, 264], [248, 277], [56, 277]], [[671, 248], [695, 248], [695, 261], [671, 261]], [[602, 248], [628, 248], [628, 261], [602, 261]], [[533, 248], [557, 248], [557, 261], [533, 261]], [[463, 248], [487, 248], [487, 261], [463, 261]], [[278, 248], [309, 248], [309, 260], [278, 260]], [[55, 240], [142, 240], [142, 254], [55, 254]], [[277, 231], [398, 231], [398, 244], [277, 244]], [[741, 228], [749, 237], [742, 245], [733, 236]], [[665, 230], [700, 230], [700, 244], [665, 244]], [[598, 230], [631, 230], [631, 244], [598, 244]], [[528, 230], [562, 230], [562, 244], [528, 244]], [[459, 230], [492, 230], [492, 244], [459, 244]], [[54, 215], [211, 217], [211, 231], [54, 229]], [[739, 211], [749, 221], [740, 229], [731, 220]], [[663, 214], [704, 214], [704, 228], [663, 228]], [[595, 215], [637, 215], [637, 226], [595, 226]], [[524, 215], [569, 215], [569, 226], [524, 226]], [[454, 215], [495, 215], [495, 226], [454, 226]], [[279, 215], [351, 215], [351, 226], [279, 226]], [[736, 199], [747, 199], [747, 208], [736, 208]], [[668, 197], [700, 197], [700, 208], [668, 208]], [[599, 196], [633, 196], [633, 210], [599, 210]], [[529, 197], [562, 197], [562, 208], [529, 208]], [[461, 197], [491, 197], [491, 208], [461, 208]], [[277, 195], [417, 196], [417, 211], [277, 209]], [[55, 192], [239, 192], [239, 205], [55, 205]], [[665, 181], [703, 181], [703, 192], [665, 192]], [[279, 180], [351, 181], [350, 192], [279, 191]], [[734, 180], [747, 180], [747, 193], [734, 193]], [[597, 180], [634, 180], [634, 191], [597, 191]], [[525, 179], [566, 179], [566, 193], [525, 193]], [[458, 180], [493, 180], [493, 191], [458, 191]], [[55, 170], [142, 170], [142, 184], [55, 184]], [[735, 165], [747, 165], [747, 175], [735, 175]], [[665, 163], [703, 163], [703, 175], [665, 175]], [[598, 163], [634, 163], [634, 175], [598, 175]], [[527, 163], [565, 163], [565, 175], [527, 175]], [[458, 163], [492, 163], [492, 175], [458, 175]], [[279, 162], [398, 162], [398, 176], [279, 176]], [[54, 146], [148, 146], [148, 159], [54, 159]], [[453, 147], [495, 147], [495, 158], [453, 158]], [[731, 143], [748, 146], [745, 161], [728, 158]], [[663, 145], [704, 145], [704, 159], [663, 159]], [[596, 146], [635, 146], [635, 157], [596, 157]], [[522, 145], [566, 142], [567, 157], [523, 159]], [[277, 144], [310, 144], [310, 158], [277, 158]], [[276, 121], [428, 121], [428, 139], [276, 139]], [[52, 120], [232, 121], [232, 139], [52, 138]], [[404, 91], [701, 91], [701, 106], [404, 106]], [[48, 79], [280, 79], [280, 97], [48, 97]], [[325, 69], [744, 70], [744, 84], [325, 83]], [[668, 48], [743, 48], [743, 63], [668, 63]], [[297, 48], [433, 48], [433, 62], [297, 62]]]
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+test_add_4.png	[]
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tests/results/det_results_gpu_trt_fp16.txt

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+test_add_9.png	[[[266, 687], [486, 687], [486, 696], [266, 696]], [[196, 668], [554, 668], [554, 681], [196, 681]], [[154, 596], [597, 596], [597, 606], [154, 606]], [[215, 578], [541, 578], [541, 588], [215, 588]], [[134, 560], [615, 560], [615, 570], [134, 570]], [[85, 543], [665, 543], [665, 553], [85, 553]], [[96, 522], [653, 522], [653, 535], [96, 535]], [[362, 449], [389, 449], [389, 460], [362, 460]], [[238, 376], [513, 376], [513, 389], [238, 389]], [[177, 356], [574, 356], [574, 368], [177, 368]], [[344, 281], [408, 283], [407, 297], [343, 294]], [[257, 205], [493, 205], [493, 219], [257, 219]]]

tools/export_model.py

@@ -93,6 +93,9 @@ def main():
             for key in config["Architecture"]["Models"]:
                 config["Architecture"]["Models"][key]["Head"][
                     "out_channels"] = char_num
+                # just one final tensor needs to to exported for inference
+                config["Architecture"]["Models"][key][
+                    "return_all_feats"] = False
         else:  # base rec model
             config["Architecture"]["Head"]["out_channels"] = char_num
     model = build_model(config["Architecture"])

tools/infer/predict_det.py

@@ -30,7 +30,7 @@ from ppocr.utils.logging import get_logger
 from ppocr.utils.utility import get_image_file_list, check_and_read_gif
 from ppocr.data import create_operators, transform
 from ppocr.postprocess import build_post_process
-
+import json
 logger = get_logger()
 
 
@@ -243,6 +243,7 @@ if __name__ == "__main__":
 
     if not os.path.exists(draw_img_save):
         os.makedirs(draw_img_save)
+    save_results = []
     for image_file in image_file_list:
         img, flag = check_and_read_gif(image_file)
         if not flag:
@@ -256,8 +257,11 @@ if __name__ == "__main__":
         if count > 0:
             total_time += elapse
         count += 1
-
-        logger.info("Predict time of {}: {}".format(image_file, elapse))
+        save_pred = os.path.basename(image_file) + "\t" + str(
+            json.dumps(np.array(dt_boxes).astype(np.int32).tolist())) + "\n"
+        save_results.append(save_pred)
+        logger.info(save_pred)
+        logger.info("The predict time of {}: {}".format(image_file, elapse))
         src_im = utility.draw_text_det_res(dt_boxes, image_file)
         img_name_pure = os.path.split(image_file)[-1]
         img_path = os.path.join(draw_img_save,
@@ -265,5 +269,8 @@ if __name__ == "__main__":
         cv2.imwrite(img_path, src_im)
         logger.info("The visualized image saved in {}".format(img_path))
 
+    with open(os.path.join(draw_img_save, "det_results.txt"), 'w') as f:
+        f.writelines(save_results)
+        f.close()
     if args.benchmark:
         text_detector.autolog.report()

tools/infer/utility.py

@@ -35,7 +35,7 @@ def init_args():
     parser.add_argument("--use_gpu", type=str2bool, default=True)
     parser.add_argument("--ir_optim", type=str2bool, default=True)
     parser.add_argument("--use_tensorrt", type=str2bool, default=False)
-    parser.add_argument("--min_subgraph_size", type=int, default=10)
+    parser.add_argument("--min_subgraph_size", type=int, default=15)
     parser.add_argument("--precision", type=str, default="fp32")
     parser.add_argument("--gpu_mem", type=int, default=500)
 

tools/infer_rec.py

@@ -121,7 +121,7 @@ def main():
                     if len(post_result[key][0]) >= 2:
                         rec_info[key] = {
                             "label": post_result[key][0][0],
-                            "score": post_result[key][0][1],
+                            "score": float(post_result[key][0][1]),
                         }
                 info = json.dumps(rec_info)
             else: