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GXYM / TextBPN-Plus-Plus

Arbitrary Shape Text Detection via Boundary Transformer；The paper at: https://arxiv.org/abs/2205.05320, which has been accepted by IEEE Transactions on Multimedia (T-MM 2023).
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After fixing bugs, the results can be reproduced and better #10

Closed GXYM closed 1 year ago

GXYM commented 1 year ago

There are some bugs in the training code of the old version. We have updated the code. The updated code can be stably trained, and has achieved better replication results than the original. Details are described here, including code changes and corresponding impact, replication details, and test logs. (If you find any problems with the code, you can feed back to us, and we will continue to optimize the code)

Note: High opencv version will lead to abnormal evaluation results on MSRA-TD500 because the eval scripts of TD500 dataset rely on opencv . we use the opencv-python == 4.5.0. It is recommended that the opencv version should not exceed 4.5.0.

Recurrence details

Our reproduction performance (without extra data for pre-training) by using the updated codes:

Datasets pre-training Model recall precision F-measure FPS
Total-Text - Res50-1s 84.22 91.88 87.88 13
CTW-1500 - Res50-1s 82.69 86.53 84.57 14

Code change

to

pixel class loss

cls_loss = self.cls_ohem(fy_preds[:, 0, :, :], tr_mask.float(), train_mask)

cls_loss = self.BCE_loss(fy_preds[:, 0, :, :], tr_mask.float()) cls_loss = torch.mul(cls_loss, train_mask.float()).mean() 


* 2.change the code in loss.py (Minor impact; The parameter theta is missing in the old version)

if eps is None: alpha = 1.0; beta = 3.0; gama = 0.05 else: alpha = 1.0; beta = 3.0; gama = 0.1torch.sigmoid(torch.tensor((eps - cfg.max_epoch)/cfg.max_epoch)) loss = alphacls_loss + betadis_loss + norm_loss + angle_loss + gama(point_loss + energy_loss) loss_dict = { 'total_loss': loss, 'cls_loss': alphacls_loss, 'distance loss': betadis_loss, 'dir_loss': norm_loss + angle_loss, 'norm_loss': norm_loss, 'angle_loss': angle_loss, 'point_loss': gamapoint_loss, 'energy_loss': gamaenergy_loss,} 

to

if eps is None: alpha = 1.0; beta = 3.0; theta=0.5; gama = 0.05 else: alpha = 1.0; beta = 3.0; theta=0.5; gama = 0.1torch.sigmoid(torch.tensor((eps - cfg.max_epoch)/cfg.max_epoch)) loss = alphacls_loss + betadis_loss + theta(norm_loss + angle_loss) + gama(point_loss + energy_loss) loss_dict = { 'total_loss': loss, 'cls_loss': alphacls_loss, 'distance loss': betadis_loss, 'dir_loss': theta(norm_loss + angle_loss), 'norm_loss': thetanorm_loss, 'angle_loss': thetaangle_loss, 'point_loss': gamapoint_loss, 'energy_loss': gamaenergy_loss,} 


* 3.change the code in dataload.py (Uncertain impact; These parameters are used to generate the boundary proposals in training and add random noise)

def init(self, transform, is_training=False): super().init() self.transform = transform self.is_training = is_training self.min_text_size = 4 self.jitter = 0.7 self.th_b = 0.4

to

def init(self, transform, is_training=False): super().init() self.transform = transform self.is_training = is_training self.min_text_size = 4 self.jitter = 0.65 self.th_b = 0.35


* 4.change the code in augmentation.py (Uncertain impact; The range of angle augmentation is 60 not 30; add the RandomDistortion)

class Augmentation(object): def init(self, size, mean, std): self.size = size self.mean = mean self.std = std self._transform_dict = {'brightness': 0.5, 'contrast': 0.5, 'sharpness': 0.8386, 'color': 0.5} self.augmentation = Compose([ RandomCropFlip(), RandomResizeScale(size=self.size, ratio=(3. / 8, 5. / 2)), RandomResizedCrop(), RotatePadding(up=60, colors=True), # pretrain on Syn is "up=15", else is "up=30" ResizeLimitSquare(size=self.size), RandomMirror(), RandomDistortion(self._transform_dict), Normalize(mean=self.mean, std=self.std), ])

to

class Augmentation(object): def init(self, size, mean, std): self.size = size self.mean = mean self.std = std self.augmentation = Compose([ RandomCropFlip(), RandomResizeScale(size=self.size, ratio=(3. / 8, 5. / 2)), RandomResizedCrop(), RotatePadding(up=30, colors=True), # pretrain on Syn is "up=15", else is "up=30" ResizeLimitSquare(size=self.size),

RandomBrightness(),

        # # RandomContrast(),
        RandomMirror(),
        Normalize(mean=self.mean, std=self.std),
    ])

## Test Log

**1.** [CTW1500](https://github.com/GXYM/TextBPN-Plus-Plus/blob/main/output/Analysis/ctw1500_eval.txt)

640_1024_100 0.35/0.825 ALL :: AP=0.6632 - Precision=0.8515 - Recall=0.7722 - Fscore=0.8099 640_1024_105 0.35/0.825 ALL :: AP=0.6544 - Precision=0.8395 - Recall=0.7774 - Fscore=0.8072 640_1024_110 0.35/0.825 ALL :: AP=0.6883 - Precision=0.8492 - Recall=0.8018 - Fscore=0.8248 640_1024_115 0.35/0.825 ALL :: AP=0.6657 - Precision=0.8621 - Recall=0.7663 - Fscore=0.8114 640_1024_120 0.35/0.825 ALL :: AP=0.6580 - Precision=0.8451 - Recall=0.7699 - Fscore=0.8057 640_1024_125 0.35/0.825 ALL :: AP=0.6577 - Precision=0.8537 - Recall=0.7683 - Fscore=0.8087 640_1024_130 0.35/0.825 ALL :: AP=0.6809 - Precision=0.8626 - Recall=0.7839 - Fscore=0.8214 640_1024_135 0.35/0.825 ALL :: AP=0.6669 - Precision=0.8518 - Recall=0.7754 - Fscore=0.8118 640_1024_140 0.35/0.825 ALL :: AP=0.6896 - Precision=0.8660 - Recall=0.7920 - Fscore=0.8274 640_1024_145 0.35/0.825 ALL :: AP=0.6684 - Precision=0.8572 - Recall=0.7751 - Fscore=0.8141 640_1024_150 0.35/0.825 ALL :: AP=0.6791 - Precision=0.8726 - Recall=0.7705 - Fscore=0.8184 640_1024_155 0.35/0.825 ALL :: AP=0.6903 - Precision=0.8451 - Recall=0.8093 - Fscore=0.8268 640_1024_160 0.35/0.825 ALL :: AP=0.6880 - Precision=0.8580 - Recall=0.7937 - Fscore=0.8246 640_1024_165 0.35/0.825 ALL :: AP=0.6772 - Precision=0.8463 - Recall=0.7953 - Fscore=0.8200 640_1024_170 0.35/0.825 ALL :: AP=0.6857 - Precision=0.8497 - Recall=0.8018 - Fscore=0.8251 640_1024_175 0.35/0.825 ALL :: AP=0.6968 - Precision=0.8787 - Recall=0.7885 - Fscore=0.8311 640_1024_180 0.35/0.825 ALL :: AP=0.6832 - Precision=0.8473 - Recall=0.7995 - Fscore=0.8227 640_1024_185 0.35/0.825 ALL :: AP=0.6979 - Precision=0.8508 - Recall=0.8123 - Fscore=0.8311 640_1024_190 0.35/0.825 ALL :: AP=0.6934 - Precision=0.8686 - Recall=0.7927 - Fscore=0.8289 640_1024_195 0.35/0.825 ALL :: AP=0.6944 - Precision=0.8657 - Recall=0.7966 - Fscore=0.8297 640_1024_200 0.35/0.825 ALL :: AP=0.6974 - Precision=0.8494 - Recall=0.8165 - Fscore=0.8326 640_1024_205 0.35/0.825 ALL :: AP=0.6833 - Precision=0.8523 - Recall=0.7956 - Fscore=0.8230 640_1024_210 0.35/0.825 ALL :: AP=0.6821 - Precision=0.8675 - Recall=0.7790 - Fscore=0.8209 640_1024_215 0.35/0.825 ALL :: AP=0.7005 - Precision=0.8669 - Recall=0.7986 - Fscore=0.8314 640_1024_220 0.35/0.825 ALL :: AP=0.6879 - Precision=0.8670 - Recall=0.7859 - Fscore=0.8244 640_1024_225 0.35/0.825 ALL :: AP=0.6713 - Precision=0.8678 - Recall=0.7663 - Fscore=0.8139 640_1024_230 0.35/0.825 ALL :: AP=0.6994 - Precision=0.8444 - Recall=0.8175 - Fscore=0.8307 640_1024_235 0.35/0.825 ALL :: AP=0.7070 - Precision=0.8759 - Recall=0.8008 - Fscore=0.8367 640_1024_240 0.35/0.825 ALL :: AP=0.6847 - Precision=0.8722 - Recall=0.7787 - Fscore=0.8228 640_1024_245 0.35/0.825 ALL :: AP=0.6970 - Precision=0.8541 - Recall=0.8093 - Fscore=0.8311 640_1024_250 0.35/0.825 ALL :: AP=0.7015 - Precision=0.8534 - Recall=0.8119 - Fscore=0.8321 640_1024_255 0.35/0.825 ALL :: AP=0.6975 - Precision=0.8485 - Recall=0.8106 - Fscore=0.8291 640_1024_260 0.35/0.825 ALL :: AP=0.6754 - Precision=0.8572 - Recall=0.7787 - Fscore=0.8161 640_1024_265 0.35/0.825 ALL :: AP=0.6902 - Precision=0.8610 - Recall=0.7953 - Fscore=0.8268 640_1024_270 0.35/0.825 ALL :: AP=0.6844 - Precision=0.8678 - Recall=0.7829 - Fscore=0.8232 640_1024_275 0.35/0.825 ALL :: AP=0.7021 - Precision=0.8690 - Recall=0.8018 - Fscore=0.8340 640_1024_280 0.35/0.825 ALL :: AP=0.6991 - Precision=0.8442 - Recall=0.8198 - Fscore=0.8318 640_1024_285 0.35/0.825 ALL :: AP=0.7004 - Precision=0.8603 - Recall=0.8067 - Fscore=0.8326 640_1024_290 0.35/0.825 ALL :: AP=0.6953 - Precision=0.8449 - Recall=0.8129 - Fscore=0.8286 640_1024_295 0.35/0.825 ALL :: AP=0.7120 - Precision=0.8629 - Recall=0.8207 - Fscore=0.8413 640_1024_300 0.35/0.825 ALL :: AP=0.7091 - Precision=0.8422 - Recall=0.8315 - Fscore=0.8368 640_1024_305 0.35/0.825 ALL :: AP=0.7105 - Precision=0.8420 - Recall=0.8357 - Fscore=0.8389 640_1024_310 0.35/0.825 ALL :: AP=0.7002 - Precision=0.8469 - Recall=0.8220 - Fscore=0.8343 640_1024_315 0.35/0.825 ALL :: AP=0.6916 - Precision=0.8551 - Recall=0.8018 - Fscore=0.8276 640_1024_320 0.35/0.825 ALL :: AP=0.7021 - Precision=0.8529 - Recall=0.8142 - Fscore=0.8331 640_1024_325 0.35/0.825 ALL :: AP=0.7042 - Precision=0.8406 - Recall=0.8269 - Fscore=0.8337 640_1024_330 0.35/0.825 ALL :: AP=0.7052 - Precision=0.8578 - Recall=0.8139 - Fscore=0.8353 640_1024_335 0.35/0.825 ALL :: AP=0.7005 - Precision=0.8608 - Recall=0.8083 - Fscore=0.8338 640_1024_340 0.35/0.825 ALL :: AP=0.6979 - Precision=0.8683 - Recall=0.7976 - Fscore=0.8315 640_1024_345 0.35/0.825 ALL :: AP=0.6818 - Precision=0.8432 - Recall=0.7995 - Fscore=0.8208 640_1024_350 0.35/0.825 ALL :: AP=0.6933 - Precision=0.8465 - Recall=0.8090 - Fscore=0.8273 640_1024_355 0.35/0.825 ALL :: AP=0.6955 - Precision=0.8534 - Recall=0.8067 - Fscore=0.8294 640_1024_360 0.35/0.825 ALL :: AP=0.6930 - Precision=0.8762 - Recall=0.7819 - Fscore=0.8264 640_1024_365 0.35/0.825 ALL :: AP=0.6974 - Precision=0.8499 - Recall=0.8123 - Fscore=0.8307 640_1024_370 0.35/0.825 ALL :: AP=0.6947 - Precision=0.8456 - Recall=0.8139 - Fscore=0.8294 640_1024_375 0.35/0.825 ALL :: AP=0.6806 - Precision=0.8414 - Recall=0.7989 - Fscore=0.8196 640_1024_380 0.35/0.825 ALL :: AP=0.6957 - Precision=0.8538 - Recall=0.8070 - Fscore=0.8298 640_1024_385 0.35/0.825 ALL :: AP=0.6993 - Precision=0.8491 - Recall=0.8158 - Fscore=0.8321 640_1024_390 0.35/0.825 ALL :: AP=0.6997 - Precision=0.8530 - Recall=0.8113 - Fscore=0.8316 640_1024_395 0.35/0.825 ALL :: AP=0.6755 - Precision=0.8327 - Recall=0.8015 - Fscore=0.8168 640_1024_400 0.35/0.825 ALL :: AP=0.7079 - Precision=0.8689 - Recall=0.8057 - Fscore=0.8361 640_1024_405 0.35/0.825 ALL :: AP=0.6922 - Precision=0.8531 - Recall=0.8048 - Fscore=0.8282 640_1024_410 0.35/0.825 ALL :: AP=0.7096 - Precision=0.8579 - Recall=0.8204 - Fscore=0.8387 640_1024_415 0.35/0.825 ALL :: AP=0.7033 - Precision=0.8450 - Recall=0.8230 - Fscore=0.8339 640_1024_420 0.35/0.825 ALL :: AP=0.6921 - Precision=0.8343 - Recall=0.8220 - Fscore=0.8281 640_1024_425 0.35/0.825 ALL :: AP=0.6949 - Precision=0.8466 - Recall=0.8129 - Fscore=0.8294 640_1024_430 0.35/0.825 ALL :: AP=0.6924 - Precision=0.8455 - Recall=0.8100 - Fscore=0.8274 640_1024_435 0.35/0.825 ALL :: AP=0.6899 - Precision=0.8387 - Recall=0.8119 - Fscore=0.8251 640_1024_440 0.35/0.825 ALL :: AP=0.7132 - Precision=0.8779 - Recall=0.8061 - Fscore=0.8404 640_1024_445 0.35/0.825 ALL :: AP=0.6952 - Precision=0.8301 - Recall=0.8331 - Fscore=0.8316 640_1024_450 0.35/0.825 ALL :: AP=0.7022 - Precision=0.8593 - Recall=0.8083 - Fscore=0.8331 640_1024_455 0.35/0.825 ALL :: AP=0.6989 - Precision=0.8478 - Recall=0.8155 - Fscore=0.8314 640_1024_460 0.35/0.825 ALL :: AP=0.7011 - Precision=0.8488 - Recall=0.8181 - Fscore=0.8332 640_1024_465 0.35/0.825 ALL :: AP=0.7035 - Precision=0.8504 - Recall=0.8191 - Fscore=0.8345 640_1024_470 0.35/0.825 ALL :: AP=0.6974 - Precision=0.8583 - Recall=0.8057 - Fscore=0.8312 640_1024_475 0.35/0.825 ALL :: AP=0.7064 - Precision=0.8565 - Recall=0.8171 - Fscore=0.8364 640_1024_480 0.35/0.825 ALL :: AP=0.6938 - Precision=0.8571 - Recall=0.8015 - Fscore=0.8284 640_1024_485 0.35/0.825 ALL :: AP=0.6903 - Precision=0.8358 - Recall=0.8181 - Fscore=0.8269 640_1024_490 0.35/0.825 ALL :: AP=0.7216 - Precision=0.8653 - Recall=0.8269 - Fscore=0.8457 640_1024_495 0.35/0.825 ALL :: AP=0.6949 - Precision=0.8535 - Recall=0.8054 - Fscore=0.8288 640_1024_500 0.35/0.825 ALL :: AP=0.7022 - Precision=0.8380 - Recall=0.8295 - Fscore=0.8337 640_1024_505 0.35/0.825 ALL :: AP=0.7058 - Precision=0.8461 - Recall=0.8259 - Fscore=0.8359 640_1024_510 0.35/0.825 ALL :: AP=0.7020 - Precision=0.8359 - Recall=0.8302 - Fscore=0.8330 640_1024_515 0.35/0.825 ALL :: AP=0.7108 - Precision=0.8612 - Recall=0.8188 - Fscore=0.8394 640_1024_520 0.35/0.825 ALL :: AP=0.6952 - Precision=0.8337 - Recall=0.8250 - Fscore=0.8293 640_1024_525 0.35/0.825 ALL :: AP=0.6513 - Precision=0.7806 - Recall=0.8256 - Fscore=0.8025 640_1024_530 0.35/0.825 ALL :: AP=0.7150 - Precision=0.8620 - Recall=0.8227 - Fscore=0.8419 640_1024_535 0.35/0.825 ALL :: AP=0.7025 - Precision=0.8563 - Recall=0.8136 - Fscore=0.8344 640_1024_540 0.35/0.825 ALL :: AP=0.6968 - Precision=0.8436 - Recall=0.8207 - Fscore=0.8320 640_1024_545 0.35/0.825 ALL :: AP=0.7020 - Precision=0.8393 - Recall=0.8289 - Fscore=0.8340 640_1024_550 0.35/0.825 ALL :: AP=0.7073 - Precision=0.8600 - Recall=0.8152 - Fscore=0.8370 640_1024_555 0.35/0.825 ALL :: AP=0.7098 - Precision=0.8350 - Recall=0.8413 - Fscore=0.8381 640_1024_560 0.35/0.825 ALL :: AP=0.6873 - Precision=0.8209 - Recall=0.8279 - Fscore=0.8244 640_1024_565 0.35/0.825 ALL :: AP=0.7031 - Precision=0.8477 - Recall=0.8237 - Fscore=0.8355 640_1024_570 0.35/0.825 ALL :: AP=0.7034 - Precision=0.8444 - Recall=0.8240 - Fscore=0.8340 640_1024_575 0.35/0.825 ALL :: AP=0.6792 - Precision=0.8153 - Recall=0.8217 - Fscore=0.8185 640_1024_580 0.35/0.825 ALL :: AP=0.6882 - Precision=0.8304 - Recall=0.8217 - Fscore=0.8260 640_1024_585 0.35/0.825 ALL :: AP=0.6805 - Precision=0.8316 - Recall=0.8110 - Fscore=0.8211 640_1024_590 0.35/0.825 ALL :: AP=0.7039 - Precision=0.8354 - Recall=0.8321 - Fscore=0.8338 640_1024_595 0.35/0.825 ALL :: AP=0.7045 - Precision=0.8492 - Recall=0.8204 - Fscore=0.8345 640_1024_600 0.35/0.825 ALL :: AP=0.6956 - Precision=0.8333 - Recall=0.8259 - Fscore=0.8296 640_1024_605 0.35/0.825 ALL :: AP=0.7063 - Precision=0.8498 - Recall=0.8227 - Fscore=0.8360 640_1024_610 0.35/0.825 ALL :: AP=0.6922 - Precision=0.8296 - Recall=0.8250 - Fscore=0.8273 640_1024_615 0.35/0.825 ALL :: AP=0.6970 - Precision=0.8459 - Recall=0.8175 - Fscore=0.8314 640_1024_620 0.35/0.825 ALL :: AP=0.6971 - Precision=0.8452 - Recall=0.8152 - Fscore=0.8299 640_1024_625 0.35/0.825 ALL :: AP=0.7046 - Precision=0.8491 - Recall=0.8214 - Fscore=0.8350 640_1024_630 0.35/0.825 ALL :: AP=0.6983 - Precision=0.8487 - Recall=0.8139 - Fscore=0.8309 640_1024_635 0.35/0.825 ALL :: AP=0.6959 - Precision=0.8364 - Recall=0.8233 - Fscore=0.8298 640_1024_640 0.35/0.825 ALL :: AP=0.6992 - Precision=0.8524 - Recall=0.8129 - Fscore=0.8322 640_1024_645 0.35/0.825 ALL :: AP=0.6922 - Precision=0.8312 - Recall=0.8220 - Fscore=0.8266 640_1024_650 0.35/0.825 ALL :: AP=0.6848 - Precision=0.8387 - Recall=0.8087 - Fscore=0.8234 640_1024_655 0.35/0.825 ALL :: AP=0.6947 - Precision=0.8377 - Recall=0.8211 - Fscore=0.8293 640_1024_660 0.35/0.825 ALL :: AP=0.6893 - Precision=0.8338 - Recall=0.8175 - Fscore=0.8255


**2.** [Total-Text](https://github.com/GXYM/TextBPN-Plus-Plus/blob/main/output/Analysis/totalText_eval.txt)

640_1024_55_0.7_0.6 0.3/0.85 ALL :: Precision=0.8919 - Recall=0.5764 - Fscore=0.7003 640_1024_55_0.8_0.4 0.3/0.85 ALL :: Precision=0.7440 - Recall=0.4755 - Fscore=0.5802 640_1024_60_0.7_0.6 0.3/0.85 ALL :: Precision=0.8882 - Recall=0.7482 - Fscore=0.8122 640_1024_60_0.8_0.4 0.3/0.85 ALL :: Precision=0.8648 - Recall=0.6999 - Fscore=0.7737 640_1024_65_0.7_0.6 0.3/0.85 ALL :: Precision=0.8836 - Recall=0.7422 - Fscore=0.8067 640_1024_65_0.8_0.4 0.3/0.85 ALL :: Precision=0.8580 - Recall=0.6985 - Fscore=0.7701 640_1024_70_0.7_0.6 0.3/0.85 ALL :: Precision=0.8578 - Recall=0.7809 - Fscore=0.8175 640_1024_70_0.8_0.4 0.3/0.85 ALL :: Precision=0.8510 - Recall=0.7440 - Fscore=0.7939 640_1024_75_0.7_0.6 0.3/0.85 ALL :: Precision=0.9005 - Recall=0.7093 - Fscore=0.7935 640_1024_75_0.8_0.4 0.3/0.85 ALL :: Precision=0.7720 - Recall=0.5996 - Fscore=0.6750 640_1024_80_0.7_0.6 0.3/0.85 ALL :: Precision=0.8779 - Recall=0.7393 - Fscore=0.8026 640_1024_80_0.8_0.4 0.3/0.85 ALL :: Precision=0.9035 - Recall=0.7136 - Fscore=0.7974 640_1024_85_0.7_0.6 0.3/0.85 ALL :: Precision=0.9066 - Recall=0.7356 - Fscore=0.8122 640_1024_85_0.8_0.4 0.3/0.85 ALL :: Precision=0.9056 - Recall=0.6985 - Fscore=0.7887 640_1024_90_0.7_0.6 0.3/0.85 ALL :: Precision=0.9147 - Recall=0.7342 - Fscore=0.8146 640_1024_90_0.8_0.4 0.3/0.85 ALL :: Precision=0.8714 - Recall=0.6778 - Fscore=0.7625 640_1024_95_0.7_0.6 0.3/0.85 ALL :: Precision=0.9105 - Recall=0.7541 - Fscore=0.8249 640_1024_95_0.8_0.4 0.3/0.85 ALL :: Precision=0.8974 - Recall=0.7189 - Fscore=0.7983 640_1024_100_0.7_0.6 0.3/0.85 ALL :: Precision=0.8707 - Recall=0.7873 - Fscore=0.8269 640_1024_100_0.8_0.4 0.3/0.85 ALL :: Precision=0.8760 - Recall=0.7581 - Fscore=0.8128 640_1024_105_0.7_0.6 0.3/0.85 ALL :: Precision=0.8976 - Recall=0.7715 - Fscore=0.8298 640_1024_105_0.8_0.4 0.3/0.85 ALL :: Precision=0.8745 - Recall=0.7299 - Fscore=0.7956 640_1024_110_0.7_0.6 0.3/0.85 ALL :: Precision=0.8657 - Recall=0.7544 - Fscore=0.8062 640_1024_110_0.8_0.4 0.3/0.85 ALL :: Precision=0.8370 - Recall=0.7028 - Fscore=0.7641 640_1024_115_0.7_0.6 0.3/0.85 ALL :: Precision=0.8907 - Recall=0.7803 - Fscore=0.8318 640_1024_115_0.8_0.4 0.3/0.85 ALL :: Precision=0.8775 - Recall=0.7494 - Fscore=0.8084 640_1024_120_0.7_0.6 0.3/0.85 ALL :: Precision=0.9044 - Recall=0.7874 - Fscore=0.8419 640_1024_120_0.8_0.4 0.3/0.85 ALL :: Precision=0.8854 - Recall=0.7429 - Fscore=0.8079 640_1024_125_0.7_0.6 0.3/0.85 ALL :: Precision=0.8920 - Recall=0.7837 - Fscore=0.8343 640_1024_125_0.8_0.4 0.3/0.85 ALL :: Precision=0.8616 - Recall=0.7341 - Fscore=0.7927 640_1024_130_0.7_0.6 0.3/0.85 ALL :: Precision=0.9021 - Recall=0.7599 - Fscore=0.8249 640_1024_130_0.8_0.4 0.3/0.85 ALL :: Precision=0.8815 - Recall=0.7221 - Fscore=0.7939 640_1024_135_0.7_0.6 0.3/0.85 ALL :: Precision=0.9095 - Recall=0.7417 - Fscore=0.8170 640_1024_135_0.8_0.4 0.3/0.85 ALL :: Precision=0.8822 - Recall=0.6976 - Fscore=0.7792 640_1024_140_0.7_0.6 0.3/0.85 ALL :: Precision=0.9052 - Recall=0.7681 - Fscore=0.8310 640_1024_140_0.8_0.4 0.3/0.85 ALL :: Precision=0.8372 - Recall=0.7023 - Fscore=0.7638 640_1024_145_0.7_0.6 0.3/0.85 ALL :: Precision=0.9037 - Recall=0.7492 - Fscore=0.8192 640_1024_145_0.8_0.4 0.3/0.85 ALL :: Precision=0.8498 - Recall=0.6900 - Fscore=0.7616 640_1024_150_0.7_0.6 0.3/0.85 ALL :: Precision=0.8820 - Recall=0.7822 - Fscore=0.8291 640_1024_150_0.8_0.4 0.3/0.85 ALL :: Precision=0.7898 - Recall=0.6825 - Fscore=0.7322 640_1024_155_0.7_0.6 0.3/0.85 ALL :: Precision=0.9289 - Recall=0.7593 - Fscore=0.8356 640_1024_155_0.8_0.4 0.3/0.85 ALL :: Precision=0.8968 - Recall=0.7114 - Fscore=0.7934 640_1024_160_0.7_0.6 0.3/0.85 ALL :: Precision=0.8956 - Recall=0.7883 - Fscore=0.8385 640_1024_160_0.8_0.4 0.3/0.85 ALL :: Precision=0.8661 - Recall=0.7422 - Fscore=0.7994 640_1024_165_0.7_0.6 0.3/0.85 ALL :: Precision=0.8919 - Recall=0.7734 - Fscore=0.8284 640_1024_165_0.8_0.4 0.3/0.85 ALL :: Precision=0.9038 - Recall=0.7515 - Fscore=0.8206 640_1024_170_0.7_0.6 0.3/0.85 ALL :: Precision=0.9014 - Recall=0.7495 - Fscore=0.8184 640_1024_170_0.8_0.4 0.3/0.85 ALL :: Precision=0.8178 - Recall=0.6698 - Fscore=0.7364 640_1024_175_0.7_0.6 0.3/0.85 ALL :: Precision=0.8883 - Recall=0.7802 - Fscore=0.8307 640_1024_175_0.8_0.4 0.3/0.85 ALL :: Precision=0.8175 - Recall=0.7062 - Fscore=0.7578 640_1024_180_0.7_0.6 0.3/0.85 ALL :: Precision=0.8944 - Recall=0.8206 - Fscore=0.8559 640_1024_180_0.8_0.4 0.3/0.85 ALL :: Precision=0.8799 - Recall=0.7856 - Fscore=0.8300 640_1024_185_0.7_0.6 0.3/0.85 ALL :: Precision=0.9049 - Recall=0.8038 - Fscore=0.8514 640_1024_185_0.8_0.4 0.3/0.85 ALL :: Precision=0.8634 - Recall=0.7460 - Fscore=0.8004 640_1024_190_0.7_0.6 0.3/0.85 ALL :: Precision=0.9025 - Recall=0.7893 - Fscore=0.8421 640_1024_190_0.8_0.4 0.3/0.85 ALL :: Precision=0.8476 - Recall=0.7310 - Fscore=0.7850 640_1024_195_0.7_0.6 0.3/0.85 ALL :: Precision=0.8633 - Recall=0.8346 - Fscore=0.8487 640_1024_195_0.8_0.4 0.3/0.85 ALL :: Precision=0.8211 - Recall=0.7784 - Fscore=0.7992 640_1024_200_0.7_0.6 0.3/0.85 ALL :: Precision=0.8903 - Recall=0.7979 - Fscore=0.8416 640_1024_200_0.8_0.4 0.3/0.85 ALL :: Precision=0.8883 - Recall=0.7704 - Fscore=0.8251 640_1024_205_0.7_0.6 0.3/0.85 ALL :: Precision=0.8790 - Recall=0.8166 - Fscore=0.8467 640_1024_205_0.8_0.4 0.3/0.85 ALL :: Precision=0.8131 - Recall=0.7435 - Fscore=0.7767 640_1024_210_0.7_0.6 0.3/0.85 ALL :: Precision=0.8907 - Recall=0.7886 - Fscore=0.8365 640_1024_210_0.8_0.4 0.3/0.85 ALL :: Precision=0.8386 - Recall=0.7358 - Fscore=0.7839 640_1024_215_0.7_0.6 0.3/0.85 ALL :: Precision=0.9042 - Recall=0.8074 - Fscore=0.8530 640_1024_215_0.8_0.4 0.3/0.85 ALL :: Precision=0.8894 - Recall=0.7689 - Fscore=0.8247 640_1024_220_0.7_0.6 0.3/0.85 ALL :: Precision=0.9024 - Recall=0.8124 - Fscore=0.8551 640_1024_220_0.8_0.4 0.3/0.85 ALL :: Precision=0.8894 - Recall=0.7789 - Fscore=0.8305 640_1024_225_0.7_0.6 0.3/0.85 ALL :: Precision=0.9243 - Recall=0.7753 - Fscore=0.8433 640_1024_225_0.8_0.4 0.3/0.85 ALL :: Precision=0.8966 - Recall=0.7331 - Fscore=0.8067 640_1024_230_0.7_0.6 0.3/0.85 ALL :: Precision=0.9038 - Recall=0.7887 - Fscore=0.8423 640_1024_230_0.8_0.4 0.3/0.85 ALL :: Precision=0.8479 - Recall=0.7240 - Fscore=0.7811 640_1024_235_0.7_0.6 0.3/0.85 ALL :: Precision=0.8893 - Recall=0.8155 - Fscore=0.8508 640_1024_235_0.8_0.4 0.3/0.85 ALL :: Precision=0.8738 - Recall=0.7748 - Fscore=0.8213 640_1024_240_0.7_0.6 0.3/0.85 ALL :: Precision=0.9134 - Recall=0.7917 - Fscore=0.8482 640_1024_240_0.8_0.4 0.3/0.85 ALL :: Precision=0.8867 - Recall=0.7480 - Fscore=0.8115 640_1024_245_0.7_0.6 0.3/0.85 ALL :: Precision=0.8786 - Recall=0.8240 - Fscore=0.8505 640_1024_245_0.8_0.4 0.3/0.85 ALL :: Precision=0.8876 - Recall=0.8023 - Fscore=0.8428 640_1024_250_0.7_0.6 0.3/0.85 ALL :: Precision=0.9029 - Recall=0.8116 - Fscore=0.8548 640_1024_250_0.8_0.4 0.3/0.85 ALL :: Precision=0.8781 - Recall=0.7730 - Fscore=0.8222 640_1024_255_0.7_0.6 0.3/0.85 ALL :: Precision=0.8993 - Recall=0.8044 - Fscore=0.8492 640_1024_255_0.8_0.4 0.3/0.85 ALL :: Precision=0.8817 - Recall=0.7730 - Fscore=0.8237 640_1024_260_0.7_0.6 0.3/0.85 ALL :: Precision=0.9177 - Recall=0.7869 - Fscore=0.8473 640_1024_260_0.8_0.4 0.3/0.85 ALL :: Precision=0.8965 - Recall=0.7519 - Fscore=0.8179 640_1024_265_0.7_0.6 0.3/0.85 ALL :: Precision=0.9016 - Recall=0.7657 - Fscore=0.8281 640_1024_265_0.8_0.4 0.3/0.85 ALL :: Precision=0.8101 - Recall=0.6797 - Fscore=0.7392 640_1024_270_0.7_0.6 0.3/0.85 ALL :: Precision=0.9182 - Recall=0.7625 - Fscore=0.8332 640_1024_270_0.8_0.4 0.3/0.85 ALL :: Precision=0.8800 - Recall=0.7181 - Fscore=0.7908 640_1024_275_0.7_0.6 0.3/0.85 ALL :: Precision=0.8808 - Recall=0.8362 - Fscore=0.8579 640_1024_275_0.8_0.4 0.3/0.85 ALL :: Precision=0.8450 - Recall=0.7865 - Fscore=0.8147 640_1024_280_0.7_0.6 0.3/0.85 ALL :: Precision=0.8764 - Recall=0.8334 - Fscore=0.8544 640_1024_280_0.8_0.4 0.3/0.85 ALL :: Precision=0.8273 - Recall=0.7779 - Fscore=0.8018 640_1024_285_0.7_0.6 0.3/0.85 ALL :: Precision=0.9112 - Recall=0.7925 - Fscore=0.8477 640_1024_285_0.8_0.4 0.3/0.85 ALL :: Precision=0.8581 - Recall=0.7381 - Fscore=0.7936 640_1024_290_0.7_0.6 0.3/0.85 ALL :: Precision=0.9156 - Recall=0.8065 - Fscore=0.8576 640_1024_290_0.8_0.4 0.3/0.85 ALL :: Precision=0.8930 - Recall=0.7752 - Fscore=0.8299 640_1024_295_0.7_0.6 0.3/0.85 ALL :: Precision=0.8806 - Recall=0.8238 - Fscore=0.8512 640_1024_295_0.8_0.4 0.3/0.85 ALL :: Precision=0.8351 - Recall=0.7685 - Fscore=0.8004 640_1024_300_0.7_0.6 0.3/0.85 ALL :: Precision=0.9062 - Recall=0.8168 - Fscore=0.8592 640_1024_300_0.8_0.4 0.3/0.85 ALL :: Precision=0.8715 - Recall=0.7657 - Fscore=0.8152 640_1024_305_0.7_0.6 0.3/0.85 ALL :: Precision=0.8940 - Recall=0.8250 - Fscore=0.8581 640_1024_305_0.8_0.4 0.3/0.85 ALL :: Precision=0.8665 - Recall=0.7877 - Fscore=0.8252 640_1024_310_0.7_0.6 0.3/0.85 ALL :: Precision=0.9030 - Recall=0.8124 - Fscore=0.8553 640_1024_310_0.8_0.4 0.3/0.85 ALL :: Precision=0.8219 - Recall=0.7302 - Fscore=0.7734 640_1024_315_0.7_0.6 0.3/0.85 ALL :: Precision=0.8854 - Recall=0.8052 - Fscore=0.8434 640_1024_315_0.8_0.4 0.3/0.85 ALL :: Precision=0.8243 - Recall=0.7396 - Fscore=0.7797 640_1024_320_0.7_0.6 0.3/0.85 ALL :: Precision=0.9020 - Recall=0.8080 - Fscore=0.8524 640_1024_320_0.8_0.4 0.3/0.85 ALL :: Precision=0.8380 - Recall=0.7368 - Fscore=0.7842 640_1024_325_0.7_0.6 0.3/0.85 ALL :: Precision=0.9207 - Recall=0.7591 - Fscore=0.8321 640_1024_325_0.8_0.4 0.3/0.85 ALL :: Precision=0.8780 - Recall=0.7137 - Fscore=0.7874 640_1024_330_0.7_0.6 0.3/0.85 ALL :: Precision=0.9092 - Recall=0.8017 - Fscore=0.8521 640_1024_330_0.8_0.4 0.3/0.85 ALL :: Precision=0.8613 - Recall=0.7506 - Fscore=0.8022 640_1024_335_0.7_0.6 0.3/0.85 ALL :: Precision=0.9124 - Recall=0.7884 - Fscore=0.8459 640_1024_335_0.8_0.4 0.3/0.85 ALL :: Precision=0.8746 - Recall=0.7389 - Fscore=0.8010 640_1024_340_0.7_0.6 0.3/0.85 ALL :: Precision=0.8851 - Recall=0.8261 - Fscore=0.8546 640_1024_340_0.8_0.4 0.3/0.85 ALL :: Precision=0.8666 - Recall=0.7851 - Fscore=0.8238 640_1024_345_0.7_0.6 0.3/0.85 ALL :: Precision=0.8868 - Recall=0.8367 - Fscore=0.8610 640_1024_345_0.8_0.4 0.3/0.85 ALL :: Precision=0.8489 - Recall=0.7883 - Fscore=0.8175 640_1024_350_0.7_0.6 0.3/0.85 ALL :: Precision=0.8902 - Recall=0.8297 - Fscore=0.8589 640_1024_350_0.8_0.4 0.3/0.85 ALL :: Precision=0.8778 - Recall=0.8043 - Fscore=0.8394 640_1024_355_0.7_0.6 0.3/0.85 ALL :: Precision=0.9133 - Recall=0.8091 - Fscore=0.8580 640_1024_355_0.8_0.4 0.3/0.85 ALL :: Precision=0.8882 - Recall=0.7691 - Fscore=0.8244 640_1024_360_0.7_0.6 0.3/0.85 ALL :: Precision=0.9170 - Recall=0.8006 - Fscore=0.8549 640_1024_360_0.8_0.4 0.3/0.85 ALL :: Precision=0.8782 - Recall=0.7532 - Fscore=0.8109 640_1024_365_0.7_0.6 0.3/0.85 ALL :: Precision=0.9107 - Recall=0.8159 - Fscore=0.8607 640_1024_365_0.8_0.4 0.3/0.85 ALL :: Precision=0.8958 - Recall=0.7883 - Fscore=0.8386 640_1024_370_0.7_0.6 0.3/0.85 ALL :: Precision=0.9239 - Recall=0.8065 - Fscore=0.8612 640_1024_370_0.8_0.4 0.3/0.85 ALL :: Precision=0.8984 - Recall=0.7693 - Fscore=0.8289 640_1024_375_0.7_0.6 0.3/0.85 ALL :: Precision=0.9133 - Recall=0.8207 - Fscore=0.8645 640_1024_375_0.8_0.4 0.3/0.85 ALL :: Precision=0.8985 - Recall=0.7885 - Fscore=0.8399 640_1024_380_0.7_0.6 0.3/0.85 ALL :: Precision=0.9233 - Recall=0.7982 - Fscore=0.8562 640_1024_380_0.8_0.4 0.3/0.85 ALL :: Precision=0.8988 - Recall=0.7631 - Fscore=0.8254 640_1024_385_0.7_0.6 0.3/0.85 ALL :: Precision=0.9085 - Recall=0.8270 - Fscore=0.8659 640_1024_385_0.8_0.4 0.3/0.85 ALL :: Precision=0.8804 - Recall=0.7867 - Fscore=0.8309 640_1024_390_0.7_0.6 0.3/0.85 ALL :: Precision=0.8920 - Recall=0.8430 - Fscore=0.8668 640_1024_390_0.8_0.4 0.3/0.85 ALL :: Precision=0.8527 - Recall=0.7916 - Fscore=0.8210 640_1024_395_0.7_0.6 0.3/0.85 ALL :: Precision=0.9081 - Recall=0.8270 - Fscore=0.8657 640_1024_395_0.8_0.4 0.3/0.85 ALL :: Precision=0.8728 - Recall=0.7782 - Fscore=0.8228 640_1024_400_0.7_0.6 0.3/0.85 ALL :: Precision=0.9075 - Recall=0.8230 - Fscore=0.8632 640_1024_400_0.8_0.4 0.3/0.85 ALL :: Precision=0.8488 - Recall=0.7623 - Fscore=0.8032 640_1024_405_0.7_0.6 0.3/0.85 ALL :: Precision=0.8951 - Recall=0.8366 - Fscore=0.8648 640_1024_405_0.8_0.4 0.3/0.85 ALL :: Precision=0.8294 - Recall=0.7659 - Fscore=0.7964 640_1024_410_0.7_0.6 0.3/0.85 ALL :: Precision=0.9087 - Recall=0.8168 - Fscore=0.8603 640_1024_410_0.8_0.4 0.3/0.85 ALL :: Precision=0.8503 - Recall=0.7520 - Fscore=0.7981 640_1024_415_0.7_0.6 0.3/0.85 ALL :: Precision=0.8821 - Recall=0.8457 - Fscore=0.8635 640_1024_415_0.8_0.4 0.3/0.85 ALL :: Precision=0.8498 - Recall=0.8046 - Fscore=0.8266 640_1024_420_0.7_0.6 0.3/0.85 ALL :: Precision=0.9138 - Recall=0.8333 - Fscore=0.8717 640_1024_420_0.8_0.4 0.3/0.85 ALL :: Precision=0.8890 - Recall=0.7927 - Fscore=0.8381 640_1024_425_0.7_0.6 0.3/0.85 ALL :: Precision=0.9073 - Recall=0.8247 - Fscore=0.8640 640_1024_425_0.8_0.4 0.3/0.85 ALL :: Precision=0.8860 - Recall=0.7914 - Fscore=0.8360 640_1024_430_0.7_0.6 0.3/0.85 ALL :: Precision=0.9150 - Recall=0.8278 - Fscore=0.8692 640_1024_430_0.8_0.4 0.3/0.85 ALL :: Precision=0.8908 - Recall=0.7936 - Fscore=0.8394 640_1024_435_0.7_0.6 0.3/0.85 ALL :: Precision=0.9052 - Recall=0.8284 - Fscore=0.8651 640_1024_435_0.8_0.4 0.3/0.85 ALL :: Precision=0.8501 - Recall=0.7658 - Fscore=0.8057 640_1024_440_0.7_0.6 0.3/0.85 ALL :: Precision=0.9019 - Recall=0.8144 - Fscore=0.8559 640_1024_440_0.8_0.4 0.3/0.85 ALL :: Precision=0.8591 - Recall=0.7656 - Fscore=0.8097 640_1024_445_0.7_0.6 0.3/0.85 ALL :: Precision=0.9054 - Recall=0.8309 - Fscore=0.8665 640_1024_445_0.8_0.4 0.3/0.85 ALL :: Precision=0.8720 - Recall=0.7837 - Fscore=0.8255 640_1024_450_0.7_0.6 0.3/0.85 ALL :: Precision=0.9026 - Recall=0.8360 - Fscore=0.8680 640_1024_450_0.8_0.4 0.3/0.85 ALL :: Precision=0.8756 - Recall=0.7980 - Fscore=0.8350 640_1024_455_0.7_0.6 0.3/0.85 ALL :: Precision=0.9142 - Recall=0.8088 - Fscore=0.8583 640_1024_455_0.8_0.4 0.3/0.85 ALL :: Precision=0.8801 - Recall=0.7687 - Fscore=0.8206 640_1024_460_0.7_0.6 0.3/0.85 ALL :: Precision=0.9003 - Recall=0.8290 - Fscore=0.8632 640_1024_460_0.8_0.4 0.3/0.85 ALL :: Precision=0.8814 - Recall=0.7963 - Fscore=0.8367 640_1024_465_0.7_0.6 0.3/0.85 ALL :: Precision=0.9083 - Recall=0.8284 - Fscore=0.8665 640_1024_465_0.8_0.4 0.3/0.85 ALL :: Precision=0.8463 - Recall=0.7624 - Fscore=0.8022 640_1024_470_0.7_0.6 0.3/0.85 ALL :: Precision=0.9052 - Recall=0.8264 - Fscore=0.8640 640_1024_470_0.8_0.4 0.3/0.85 ALL :: Precision=0.8668 - Recall=0.7785 - Fscore=0.8203 640_1024_475_0.7_0.6 0.3/0.85 ALL :: Precision=0.9228 - Recall=0.8064 - Fscore=0.8607 640_1024_475_0.8_0.4 0.3/0.85 ALL :: Precision=0.9016 - Recall=0.7737 - Fscore=0.8328 640_1024_480_0.7_0.6 0.3/0.85 ALL :: Precision=0.9117 - Recall=0.8129 - Fscore=0.8594 640_1024_480_0.8_0.4 0.3/0.85 ALL :: Precision=0.9108 - Recall=0.7998 - Fscore=0.8517 640_1024_485_0.7_0.6 0.3/0.85 ALL :: Precision=0.8764 - Recall=0.8402 - Fscore=0.8579 640_1024_485_0.8_0.4 0.3/0.85 ALL :: Precision=0.8354 - Recall=0.7776 - Fscore=0.8055 640_1024_490_0.7_0.6 0.3/0.85 ALL :: Precision=0.9033 - Recall=0.8417 - Fscore=0.8714 640_1024_490_0.8_0.4 0.3/0.85 ALL :: Precision=0.8577 - Recall=0.7890 - Fscore=0.8219 640_1024_495_0.7_0.6 0.3/0.85 ALL :: Precision=0.9119 - Recall=0.8284 - Fscore=0.8682 640_1024_495_0.8_0.4 0.3/0.85 ALL :: Precision=0.8496 - Recall=0.7620 - Fscore=0.8034 640_1024_500_0.7_0.6 0.3/0.85 ALL :: Precision=0.9022 - Recall=0.8422 - Fscore=0.8712 640_1024_500_0.8_0.4 0.3/0.85 ALL :: Precision=0.8714 - Recall=0.7998 - Fscore=0.8341 640_1024_505_0.7_0.6 0.3/0.85 ALL :: Precision=0.9168 - Recall=0.8249 - Fscore=0.8684 640_1024_505_0.8_0.4 0.3/0.85 ALL :: Precision=0.8742 - Recall=0.7757 - Fscore=0.8220 640_1024_510_0.7_0.6 0.3/0.85 ALL :: Precision=0.8980 - Recall=0.8305 - Fscore=0.8629 640_1024_510_0.8_0.4 0.3/0.85 ALL :: Precision=0.8457 - Recall=0.7719 - Fscore=0.8071 640_1024_515_0.7_0.6 0.3/0.85 ALL :: Precision=0.9138 - Recall=0.8304 - Fscore=0.8701 640_1024_515_0.8_0.4 0.3/0.85 ALL :: Precision=0.8791 - Recall=0.7894 - Fscore=0.8318 640_1024_520_0.7_0.6 0.3/0.85 ALL :: Precision=0.9174 - Recall=0.8219 - Fscore=0.8670 640_1024_520_0.8_0.4 0.3/0.85 ALL :: Precision=0.8750 - Recall=0.7736 - Fscore=0.8212 640_1024_525_0.7_0.6 0.3/0.85 ALL :: Precision=0.9173 - Recall=0.8246 - Fscore=0.8685 640_1024_525_0.8_0.4 0.3/0.85 ALL :: Precision=0.8903 - Recall=0.7902 - Fscore=0.8373 640_1024_530_0.7_0.6 0.3/0.85 ALL :: Precision=0.9003 - Recall=0.8358 - Fscore=0.8668 640_1024_530_0.8_0.4 0.3/0.85 ALL :: Precision=0.8657 - Recall=0.7912 - Fscore=0.8268 640_1024_535_0.7_0.6 0.3/0.85 ALL :: Precision=0.9101 - Recall=0.8303 - Fscore=0.8684 640_1024_535_0.8_0.4 0.3/0.85 ALL :: Precision=0.8425 - Recall=0.7601 - Fscore=0.7991 640_1024_540_0.7_0.6 0.3/0.85 ALL :: Precision=0.9070 - Recall=0.8270 - Fscore=0.8651 640_1024_540_0.8_0.4 0.3/0.85 ALL :: Precision=0.8880 - Recall=0.7922 - Fscore=0.8374 640_1024_545_0.7_0.6 0.3/0.85 ALL :: Precision=0.8862 - Recall=0.8309 - Fscore=0.8577 640_1024_545_0.8_0.4 0.3/0.85 ALL :: Precision=0.8246 - Recall=0.7681 - Fscore=0.7953 640_1024_550_0.7_0.6 0.3/0.85 ALL :: Precision=0.9061 - Recall=0.8276 - Fscore=0.8651 640_1024_550_0.8_0.4 0.3/0.85 ALL :: Precision=0.8729 - Recall=0.7858 - Fscore=0.8271 640_1024_555_0.7_0.6 0.3/0.85 ALL :: Precision=0.9012 - Recall=0.8410 - Fscore=0.8701 640_1024_555_0.8_0.4 0.3/0.85 ALL :: Precision=0.8597 - Recall=0.7856 - Fscore=0.8210 640_1024_560_0.7_0.6 0.3/0.85 ALL :: Precision=0.8993 - Recall=0.8335 - Fscore=0.8651 640_1024_560_0.8_0.4 0.3/0.85 ALL :: Precision=0.8532 - Recall=0.7789 - Fscore=0.8144 640_1024_565_0.7_0.6 0.3/0.85 ALL :: Precision=0.9188 - Recall=0.8422 - Fscore=0.8788 640_1024_565_0.8_0.4 0.3/0.85 ALL :: Precision=0.8820 - Recall=0.7945 - Fscore=0.8359 640_1024_570_0.7_0.6 0.3/0.85 ALL :: Precision=0.9077 - Recall=0.8271 - Fscore=0.8656 640_1024_570_0.8_0.4 0.3/0.85 ALL :: Precision=0.8659 - Recall=0.7768 - Fscore=0.8189 640_1024_575_0.7_0.6 0.3/0.85 ALL :: Precision=0.9108 - Recall=0.8214 - Fscore=0.8638 640_1024_575_0.8_0.4 0.3/0.85 ALL :: Precision=0.8447 - Recall=0.7512 - Fscore=0.7952 640_1024_580_0.7_0.6 0.3/0.85 ALL :: Precision=0.9136 - Recall=0.8044 - Fscore=0.8555 640_1024_580_0.8_0.4 0.3/0.85 ALL :: Precision=0.8763 - Recall=0.7612 - Fscore=0.8147 640_1024_585_0.7_0.6 0.3/0.85 ALL :: Precision=0.9097 - Recall=0.8334 - Fscore=0.8699 640_1024_585_0.8_0.4 0.3/0.85 ALL :: Precision=0.8672 - Recall=0.7802 - Fscore=0.8214 640_1024_590_0.7_0.6 0.3/0.85 ALL :: Precision=0.9086 - Recall=0.8271 - Fscore=0.8659 640_1024_590_0.8_0.4 0.3/0.85 ALL :: Precision=0.8544 - Recall=0.7687 - Fscore=0.8093 640_1024_595_0.7_0.6 0.3/0.85 ALL :: Precision=0.9148 - Recall=0.8355 - Fscore=0.8734 640_1024_595_0.8_0.4 0.3/0.85 ALL :: Precision=0.8840 - Recall=0.7904 - Fscore=0.8346 640_1024_600_0.7_0.6 0.3/0.85 ALL :: Precision=0.9086 - Recall=0.8419 - Fscore=0.8740 640_1024_600_0.8_0.4 0.3/0.85 ALL :: Precision=0.8787 - Recall=0.7994 - Fscore=0.8372 640_1024_605_0.7_0.6 0.3/0.85 ALL :: Precision=0.8997 - Recall=0.8450 - Fscore=0.8715 640_1024_605_0.8_0.4 0.3/0.85 ALL :: Precision=0.8769 - Recall=0.8091 - Fscore=0.8416 640_1024_610_0.7_0.6 0.3/0.85 ALL :: Precision=0.9126 - Recall=0.8148 - Fscore=0.8609 640_1024_610_0.8_0.4 0.3/0.85 ALL :: Precision=0.8784 - Recall=0.7695 - Fscore=0.8204 640_1024_615_0.7_0.6 0.3/0.85 ALL :: Precision=0.9046 - Recall=0.8327 - Fscore=0.8671 640_1024_615_0.8_0.4 0.3/0.85 ALL :: Precision=0.8632 - Recall=0.7802 - Fscore=0.8196 640_1024_620_0.7_0.6 0.3/0.85 ALL :: Precision=0.9005 - Recall=0.8495 - Fscore=0.8743 640_1024_620_0.8_0.4 0.3/0.85 ALL :: Precision=0.8641 - Recall=0.8016 - Fscore=0.8317 640_1024_625_0.7_0.6 0.3/0.85 ALL :: Precision=0.9048 - Recall=0.8413 - Fscore=0.8719 640_1024_625_0.8_0.4 0.3/0.85 ALL :: Precision=0.8578 - Recall=0.7865 - Fscore=0.8206 640_1024_630_0.7_0.6 0.3/0.85 ALL :: Precision=0.9182 - Recall=0.8181 - Fscore=0.8653 640_1024_630_0.8_0.4 0.3/0.85 ALL :: Precision=0.8621 - Recall=0.7583 - Fscore=0.8069 640_1024_635_0.7_0.6 0.3/0.85 ALL :: Precision=0.9102 - Recall=0.8383 - Fscore=0.8728 640_1024_635_0.8_0.4 0.3/0.85 ALL :: Precision=0.8753 - Recall=0.7914 - Fscore=0.8312 640_1024_640_0.7_0.6 0.3/0.85 ALL :: Precision=0.9160 - Recall=0.8320 - Fscore=0.8720 640_1024_640_0.8_0.4 0.3/0.85 ALL :: Precision=0.8804 - Recall=0.7851 - Fscore=0.8300 640_1024_645_0.7_0.6 0.3/0.85 ALL :: Precision=0.9050 - Recall=0.8472 - Fscore=0.8751 640_1024_645_0.8_0.4 0.3/0.85 ALL :: Precision=0.8799 - Recall=0.8103 - Fscore=0.8437 640_1024_650_0.7_0.6 0.3/0.85 ALL :: Precision=0.9122 - Recall=0.8394 - Fscore=0.8743 640_1024_650_0.8_0.4 0.3/0.85 ALL :: Precision=0.8630 - Recall=0.7830 - Fscore=0.8211 640_1024_655_0.7_0.6 0.3/0.85 ALL :: Precision=0.9052 - Recall=0.8440 - Fscore=0.8735 640_1024_655_0.8_0.4 0.3/0.85 ALL :: Precision=0.8671 - Recall=0.7947 - Fscore=0.8294 640_1024_660_0.7_0.6 0.3/0.85 ALL :: Precision=0.9090 - Recall=0.8440 - Fscore=0.8753 640_1024_660_0.8_0.4 0.3/0.85 ALL :: Precision=0.8612 - Recall=0.7893 - Fscore=0.8237