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Copy pathtest_results_per_class.txt
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75 lines (75 loc) · 31.9 KB
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{'map': tensor(0.7667), 'map_50': tensor(1.), 'map_75': tensor(0.6667), 'map_small': tensor(0.3000), 'map_medium': tensor(1.), 'map_large': tensor(1.), 'mar_1': tensor(0.3778), 'mar_10': tensor(0.7667), 'mar_100': tensor(0.7667), 'mar_small': tensor(0.3000), 'mar_medium': tensor(1.), 'mar_large': tensor(1.), 'map_per_class': tensor([0.3000, 1.0000, 1.0000]), 'mar_100_per_class': tensor([0.3000, 1.0000, 1.0000])}
{'map': tensor(0.8554), 'map_50': tensor(0.9673), 'map_75': tensor(0.9508), 'map_small': tensor(0.5053), 'map_medium': tensor(0.8533), 'map_large': tensor(0.9782), 'mar_1': tensor(0.4056), 'mar_10': tensor(0.8893), 'mar_100': tensor(0.8893), 'mar_small': tensor(0.5222), 'mar_medium': tensor(0.9090), 'mar_large': tensor(0.9875), 'map_per_class': tensor([0.8199, 0.9210, 0.8254]), 'mar_100_per_class': tensor([0.8591, 0.9409, 0.8680])}
{'map': tensor(0.8151), 'map_50': tensor(0.9390), 'map_75': tensor(0.9254), 'map_small': tensor(0.5686), 'map_medium': tensor(0.8201), 'map_large': tensor(0.9206), 'mar_1': tensor(0.3840), 'mar_10': tensor(0.8695), 'mar_100': tensor(0.8695), 'mar_small': tensor(0.5759), 'mar_medium': tensor(0.9053), 'mar_large': tensor(0.9679), 'map_per_class': tensor([0.7843, 0.8306, 0.8304]), 'mar_100_per_class': tensor([0.8465, 0.8865, 0.8755])}
{'map': tensor(0.8271), 'map_50': tensor(0.9516), 'map_75': tensor(0.9330), 'map_small': tensor(0.6575), 'map_medium': tensor(0.8249), 'map_large': tensor(0.9527), 'mar_1': tensor(0.3889), 'mar_10': tensor(0.8794), 'mar_100': tensor(0.8794), 'mar_small': tensor(0.6675), 'mar_medium': tensor(0.9011), 'mar_large': tensor(0.9796), 'map_per_class': tensor([0.8062, 0.8236, 0.8516]), 'mar_100_per_class': tensor([0.8649, 0.8800, 0.8932])}
{'map': tensor(0.8318), 'map_50': tensor(0.9614), 'map_75': tensor(0.9413), 'map_small': tensor(0.6843), 'map_medium': tensor(0.8217), 'map_large': tensor(0.9351), 'mar_1': tensor(0.3890), 'mar_10': tensor(0.8836), 'mar_100': tensor(0.8836), 'mar_small': tensor(0.7089), 'mar_medium': tensor(0.8986), 'mar_large': tensor(0.9812), 'map_per_class': tensor([0.7994, 0.8320, 0.8640]), 'mar_100_per_class': tensor([0.8618, 0.8829, 0.9061])}
{'map': tensor(0.8259), 'map_50': tensor(0.9601), 'map_75': tensor(0.9383), 'map_small': tensor(0.6626), 'map_medium': tensor(0.8128), 'map_large': tensor(0.9051), 'mar_1': tensor(0.3981), 'mar_10': tensor(0.8799), 'mar_100': tensor(0.8799), 'mar_small': tensor(0.6879), 'mar_medium': tensor(0.8970), 'mar_large': tensor(0.9488), 'map_per_class': tensor([0.8026, 0.8032, 0.8721]), 'mar_100_per_class': tensor([0.8646, 0.8670, 0.9081])}
{'map': tensor(0.8289), 'map_50': tensor(0.9645), 'map_75': tensor(0.9335), 'map_small': tensor(0.6539), 'map_medium': tensor(0.8180), 'map_large': tensor(0.9066), 'mar_1': tensor(0.3925), 'mar_10': tensor(0.8810), 'mar_100': tensor(0.8810), 'mar_small': tensor(0.6808), 'mar_medium': tensor(0.8974), 'mar_large': tensor(0.9444), 'map_per_class': tensor([0.8049, 0.8276, 0.8542]), 'mar_100_per_class': tensor([0.8629, 0.8852, 0.8948])}
{'map': tensor(0.8254), 'map_50': tensor(0.9624), 'map_75': tensor(0.9268), 'map_small': tensor(0.6358), 'map_medium': tensor(0.8251), 'map_large': tensor(0.8419), 'mar_1': tensor(0.3914), 'mar_10': tensor(0.8794), 'mar_100': tensor(0.8794), 'mar_small': tensor(0.6753), 'mar_medium': tensor(0.8977), 'mar_large': tensor(0.9291), 'map_per_class': tensor([0.7938, 0.8371, 0.8452]), 'mar_100_per_class': tensor([0.8561, 0.8896, 0.8923])}
{'map': tensor(0.8238), 'map_50': tensor(0.9583), 'map_75': tensor(0.9310), 'map_small': tensor(0.6192), 'map_medium': tensor(0.8198), 'map_large': tensor(0.8437), 'mar_1': tensor(0.3955), 'mar_10': tensor(0.8785), 'mar_100': tensor(0.8785), 'mar_small': tensor(0.6592), 'mar_medium': tensor(0.8988), 'mar_large': tensor(0.9313), 'map_per_class': tensor([0.7944, 0.8319, 0.8451]), 'mar_100_per_class': tensor([0.8548, 0.8903, 0.8904])}
{'map': tensor(0.8279), 'map_50': tensor(0.9628), 'map_75': tensor(0.9331), 'map_small': tensor(0.6360), 'map_medium': tensor(0.8211), 'map_large': tensor(0.8475), 'mar_1': tensor(0.4023), 'mar_10': tensor(0.8816), 'mar_100': tensor(0.8816), 'mar_small': tensor(0.6736), 'mar_medium': tensor(0.9009), 'mar_large': tensor(0.9267), 'map_per_class': tensor([0.7966, 0.8380, 0.8489]), 'mar_100_per_class': tensor([0.8576, 0.8924, 0.8948])}
{'map': tensor(0.8281), 'map_50': tensor(0.9671), 'map_75': tensor(0.9347), 'map_small': tensor(0.6571), 'map_medium': tensor(0.8174), 'map_large': tensor(0.8499), 'mar_1': tensor(0.4068), 'mar_10': tensor(0.8825), 'mar_100': tensor(0.8825), 'mar_small': tensor(0.6957), 'mar_medium': tensor(0.8980), 'mar_large': tensor(0.9371), 'map_per_class': tensor([0.7962, 0.8322, 0.8559]), 'mar_100_per_class': tensor([0.8578, 0.8912, 0.8986])}
{'map': tensor(0.8319), 'map_50': tensor(0.9679), 'map_75': tensor(0.9368), 'map_small': tensor(0.6571), 'map_medium': tensor(0.8209), 'map_large': tensor(0.8568), 'mar_1': tensor(0.4117), 'mar_10': tensor(0.8855), 'mar_100': tensor(0.8855), 'mar_small': tensor(0.6956), 'mar_medium': tensor(0.8997), 'mar_large': tensor(0.9372), 'map_per_class': tensor([0.7987, 0.8377, 0.8592]), 'mar_100_per_class': tensor([0.8610, 0.8937, 0.9018])}
{'map': tensor(0.8313), 'map_50': tensor(0.9686), 'map_75': tensor(0.9385), 'map_small': tensor(0.6577), 'map_medium': tensor(0.8238), 'map_large': tensor(0.8063), 'mar_1': tensor(0.4104), 'mar_10': tensor(0.8857), 'mar_100': tensor(0.8857), 'mar_small': tensor(0.6975), 'mar_medium': tensor(0.9002), 'mar_large': tensor(0.9338), 'map_per_class': tensor([0.7990, 0.8387, 0.8561]), 'mar_100_per_class': tensor([0.8614, 0.8948, 0.9008])}
{'map': tensor(0.8336), 'map_50': tensor(0.9688), 'map_75': tensor(0.9428), 'map_small': tensor(0.6608), 'map_medium': tensor(0.8216), 'map_large': tensor(0.8093), 'mar_1': tensor(0.4102), 'mar_10': tensor(0.8861), 'mar_100': tensor(0.8861), 'mar_small': tensor(0.7000), 'mar_medium': tensor(0.9013), 'mar_large': tensor(0.9329), 'map_per_class': tensor([0.8022, 0.8390, 0.8595]), 'mar_100_per_class': tensor([0.8622, 0.8935, 0.9026])}
{'map': tensor(0.8364), 'map_50': tensor(0.9694), 'map_75': tensor(0.9471), 'map_small': tensor(0.6583), 'map_medium': tensor(0.8252), 'map_large': tensor(0.8135), 'mar_1': tensor(0.4068), 'mar_10': tensor(0.8883), 'mar_100': tensor(0.8883), 'mar_small': tensor(0.7138), 'mar_medium': tensor(0.9019), 'mar_large': tensor(0.9341), 'map_per_class': tensor([0.8088, 0.8412, 0.8592]), 'mar_100_per_class': tensor([0.8665, 0.8950, 0.9034])}
{'map': tensor(0.8347), 'map_50': tensor(0.9699), 'map_75': tensor(0.9469), 'map_small': tensor(0.6426), 'map_medium': tensor(0.8249), 'map_large': tensor(0.8214), 'mar_1': tensor(0.4044), 'mar_10': tensor(0.8881), 'mar_100': tensor(0.8881), 'mar_small': tensor(0.7163), 'mar_medium': tensor(0.9004), 'mar_large': tensor(0.9364), 'map_per_class': tensor([0.8059, 0.8401, 0.8582]), 'mar_100_per_class': tensor([0.8657, 0.8956, 0.9028])}
{'map': tensor(0.8346), 'map_50': tensor(0.9691), 'map_75': tensor(0.9464), 'map_small': tensor(0.6330), 'map_medium': tensor(0.8269), 'map_large': tensor(0.8210), 'mar_1': tensor(0.4049), 'mar_10': tensor(0.8887), 'mar_100': tensor(0.8887), 'mar_small': tensor(0.7099), 'mar_medium': tensor(0.9015), 'mar_large': tensor(0.9362), 'map_per_class': tensor([0.8076, 0.8423, 0.8538]), 'mar_100_per_class': tensor([0.8674, 0.8969, 0.9018])}
{'map': tensor(0.8341), 'map_50': tensor(0.9694), 'map_75': tensor(0.9473), 'map_small': tensor(0.6153), 'map_medium': tensor(0.8263), 'map_large': tensor(0.8246), 'mar_1': tensor(0.4022), 'mar_10': tensor(0.8874), 'mar_100': tensor(0.8874), 'mar_small': tensor(0.6948), 'mar_medium': tensor(0.9013), 'mar_large': tensor(0.9368), 'map_per_class': tensor([0.8087, 0.8383, 0.8553]), 'mar_100_per_class': tensor([0.8672, 0.8926, 0.9023])}
{'map': tensor(0.8331), 'map_50': tensor(0.9697), 'map_75': tensor(0.9480), 'map_small': tensor(0.6214), 'map_medium': tensor(0.8251), 'map_large': tensor(0.8212), 'mar_1': tensor(0.4032), 'mar_10': tensor(0.8869), 'mar_100': tensor(0.8869), 'mar_small': tensor(0.7035), 'mar_medium': tensor(0.9019), 'mar_large': tensor(0.9280), 'map_per_class': tensor([0.8068, 0.8396, 0.8529]), 'mar_100_per_class': tensor([0.8659, 0.8942, 0.9005])}
{'map': tensor(0.8348), 'map_50': tensor(0.9701), 'map_75': tensor(0.9488), 'map_small': tensor(0.6186), 'map_medium': tensor(0.8270), 'map_large': tensor(0.8305), 'mar_1': tensor(0.4038), 'mar_10': tensor(0.8883), 'mar_100': tensor(0.8883), 'mar_small': tensor(0.7042), 'mar_medium': tensor(0.9028), 'mar_large': tensor(0.9305), 'map_per_class': tensor([0.8088, 0.8431, 0.8524]), 'mar_100_per_class': tensor([0.8680, 0.8960, 0.9008])}
{'map': tensor(0.8288), 'map_50': tensor(0.9690), 'map_75': tensor(0.9410), 'map_small': tensor(0.6100), 'map_medium': tensor(0.8257), 'map_large': tensor(0.8147), 'mar_1': tensor(0.3970), 'mar_10': tensor(0.8858), 'mar_100': tensor(0.8858), 'mar_small': tensor(0.6903), 'mar_medium': tensor(0.9015), 'mar_large': tensor(0.9311), 'map_per_class': tensor([0.8092, 0.8304, 0.8467]), 'mar_100_per_class': tensor([0.8665, 0.8922, 0.8988])}
{'map': tensor(0.8281), 'map_50': tensor(0.9651), 'map_75': tensor(0.9403), 'map_small': tensor(0.6030), 'map_medium': tensor(0.8283), 'map_large': tensor(0.8060), 'mar_1': tensor(0.3996), 'mar_10': tensor(0.8855), 'mar_100': tensor(0.8855), 'mar_small': tensor(0.6847), 'mar_medium': tensor(0.9019), 'mar_large': tensor(0.9318), 'map_per_class': tensor([0.8087, 0.8336, 0.8419]), 'mar_100_per_class': tensor([0.8662, 0.8938, 0.8967])}
{'map': tensor(0.8295), 'map_50': tensor(0.9655), 'map_75': tensor(0.9408), 'map_small': tensor(0.5990), 'map_medium': tensor(0.8280), 'map_large': tensor(0.8165), 'mar_1': tensor(0.4003), 'mar_10': tensor(0.8860), 'mar_100': tensor(0.8860), 'mar_small': tensor(0.6890), 'mar_medium': tensor(0.9022), 'mar_large': tensor(0.9358), 'map_per_class': tensor([0.8085, 0.8356, 0.8443]), 'mar_100_per_class': tensor([0.8647, 0.8948, 0.8984])}
{'map': tensor(0.8292), 'map_50': tensor(0.9657), 'map_75': tensor(0.9415), 'map_small': tensor(0.5898), 'map_medium': tensor(0.8260), 'map_large': tensor(0.8217), 'mar_1': tensor(0.4016), 'mar_10': tensor(0.8858), 'mar_100': tensor(0.8858), 'mar_small': tensor(0.6882), 'mar_medium': tensor(0.9021), 'mar_large': tensor(0.9373), 'map_per_class': tensor([0.8066, 0.8374, 0.8438]), 'mar_100_per_class': tensor([0.8648, 0.8952, 0.8974])}
{'map': tensor(0.8258), 'map_50': tensor(0.9607), 'map_75': tensor(0.9364), 'map_small': tensor(0.5800), 'map_medium': tensor(0.8245), 'map_large': tensor(0.8161), 'mar_1': tensor(0.4000), 'mar_10': tensor(0.8844), 'mar_100': tensor(0.8844), 'mar_small': tensor(0.6769), 'mar_medium': tensor(0.9014), 'mar_large': tensor(0.9372), 'map_per_class': tensor([0.8093, 0.8279, 0.8404]), 'mar_100_per_class': tensor([0.8664, 0.8907, 0.8963])}
{'map': tensor(0.8245), 'map_50': tensor(0.9635), 'map_75': tensor(0.9357), 'map_small': tensor(0.5773), 'map_medium': tensor(0.8208), 'map_large': tensor(0.8253), 'mar_1': tensor(0.3985), 'mar_10': tensor(0.8831), 'mar_100': tensor(0.8831), 'mar_small': tensor(0.6744), 'mar_medium': tensor(0.8998), 'mar_large': tensor(0.9351), 'map_per_class': tensor([0.8089, 0.8257, 0.8388]), 'mar_100_per_class': tensor([0.8667, 0.8876, 0.8951])}
{'map': tensor(0.8244), 'map_50': tensor(0.9600), 'map_75': tensor(0.9356), 'map_small': tensor(0.5748), 'map_medium': tensor(0.8193), 'map_large': tensor(0.8274), 'mar_1': tensor(0.3977), 'mar_10': tensor(0.8828), 'mar_100': tensor(0.8828), 'mar_small': tensor(0.6663), 'mar_medium': tensor(0.9008), 'mar_large': tensor(0.9341), 'map_per_class': tensor([0.8090, 0.8249, 0.8392]), 'mar_100_per_class': tensor([0.8656, 0.8888, 0.8941])}
{'map': tensor(0.8253), 'map_50': tensor(0.9637), 'map_75': tensor(0.9389), 'map_small': tensor(0.5678), 'map_medium': tensor(0.8203), 'map_large': tensor(0.8079), 'mar_1': tensor(0.3990), 'mar_10': tensor(0.8832), 'mar_100': tensor(0.8832), 'mar_small': tensor(0.6679), 'mar_medium': tensor(0.9007), 'mar_large': tensor(0.9339), 'map_per_class': tensor([0.8089, 0.8254, 0.8416]), 'mar_100_per_class': tensor([0.8651, 0.8891, 0.8955])}
{'map': tensor(0.8263), 'map_50': tensor(0.9642), 'map_75': tensor(0.9397), 'map_small': tensor(0.5710), 'map_medium': tensor(0.8194), 'map_large': tensor(0.8111), 'mar_1': tensor(0.3994), 'mar_10': tensor(0.8841), 'mar_100': tensor(0.8841), 'mar_small': tensor(0.6703), 'mar_medium': tensor(0.9011), 'mar_large': tensor(0.9351), 'map_per_class': tensor([0.8106, 0.8252, 0.8431]), 'mar_100_per_class': tensor([0.8668, 0.8891, 0.8965])}
{'map': tensor(0.8237), 'map_50': tensor(0.9609), 'map_75': tensor(0.9354), 'map_small': tensor(0.5745), 'map_medium': tensor(0.8153), 'map_large': tensor(0.8066), 'mar_1': tensor(0.4003), 'mar_10': tensor(0.8827), 'mar_100': tensor(0.8827), 'mar_small': tensor(0.6714), 'mar_medium': tensor(0.8994), 'mar_large': tensor(0.9301), 'map_per_class': tensor([0.8067, 0.8260, 0.8384]), 'mar_100_per_class': tensor([0.8648, 0.8892, 0.8941])}
{'map': tensor(0.8229), 'map_50': tensor(0.9598), 'map_75': tensor(0.9347), 'map_small': tensor(0.5749), 'map_medium': tensor(0.8149), 'map_large': tensor(0.8024), 'mar_1': tensor(0.4019), 'mar_10': tensor(0.8826), 'mar_100': tensor(0.8826), 'mar_small': tensor(0.6716), 'mar_medium': tensor(0.8990), 'mar_large': tensor(0.9308), 'map_per_class': tensor([0.8036, 0.8270, 0.8381]), 'mar_100_per_class': tensor([0.8635, 0.8903, 0.8940])}
{'map': tensor(0.8243), 'map_50': tensor(0.9603), 'map_75': tensor(0.9348), 'map_small': tensor(0.5770), 'map_medium': tensor(0.8165), 'map_large': tensor(0.8039), 'mar_1': tensor(0.4010), 'mar_10': tensor(0.8840), 'mar_100': tensor(0.8840), 'mar_small': tensor(0.6732), 'mar_medium': tensor(0.9001), 'mar_large': tensor(0.9286), 'map_per_class': tensor([0.8043, 0.8303, 0.8384]), 'mar_100_per_class': tensor([0.8641, 0.8926, 0.8951])}
{'map': tensor(0.8251), 'map_50': tensor(0.9602), 'map_75': tensor(0.9380), 'map_small': tensor(0.5838), 'map_medium': tensor(0.8161), 'map_large': tensor(0.8056), 'mar_1': tensor(0.4014), 'mar_10': tensor(0.8844), 'mar_100': tensor(0.8844), 'mar_small': tensor(0.6756), 'mar_medium': tensor(0.9005), 'mar_large': tensor(0.9289), 'map_per_class': tensor([0.8054, 0.8324, 0.8374]), 'mar_100_per_class': tensor([0.8648, 0.8938, 0.8947])}
{'map': tensor(0.8237), 'map_50': tensor(0.9596), 'map_75': tensor(0.9374), 'map_small': tensor(0.5822), 'map_medium': tensor(0.8160), 'map_large': tensor(0.7974), 'mar_1': tensor(0.3988), 'mar_10': tensor(0.8838), 'mar_100': tensor(0.8838), 'mar_small': tensor(0.6743), 'mar_medium': tensor(0.9001), 'mar_large': tensor(0.9268), 'map_per_class': tensor([0.8063, 0.8297, 0.8352]), 'mar_100_per_class': tensor([0.8649, 0.8927, 0.8938])}
{'map': tensor(0.8237), 'map_50': tensor(0.9601), 'map_75': tensor(0.9378), 'map_small': tensor(0.5825), 'map_medium': tensor(0.8169), 'map_large': tensor(0.7984), 'mar_1': tensor(0.3972), 'mar_10': tensor(0.8845), 'mar_100': tensor(0.8845), 'mar_small': tensor(0.6782), 'mar_medium': tensor(0.9004), 'mar_large': tensor(0.9276), 'map_per_class': tensor([0.8047, 0.8280, 0.8383]), 'mar_100_per_class': tensor([0.8650, 0.8926, 0.8960])}
{'map': tensor(0.8247), 'map_50': tensor(0.9605), 'map_75': tensor(0.9383), 'map_small': tensor(0.5822), 'map_medium': tensor(0.8170), 'map_large': tensor(0.7981), 'mar_1': tensor(0.3973), 'mar_10': tensor(0.8848), 'mar_100': tensor(0.8848), 'mar_small': tensor(0.6772), 'mar_medium': tensor(0.9009), 'mar_large': tensor(0.9261), 'map_per_class': tensor([0.8062, 0.8285, 0.8394]), 'mar_100_per_class': tensor([0.8655, 0.8925, 0.8966])}
{'map': tensor(0.8249), 'map_50': tensor(0.9605), 'map_75': tensor(0.9387), 'map_small': tensor(0.5790), 'map_medium': tensor(0.8179), 'map_large': tensor(0.8014), 'mar_1': tensor(0.3971), 'mar_10': tensor(0.8845), 'mar_100': tensor(0.8845), 'mar_small': tensor(0.6739), 'mar_medium': tensor(0.9007), 'mar_large': tensor(0.9272), 'map_per_class': tensor([0.8052, 0.8317, 0.8378]), 'mar_100_per_class': tensor([0.8646, 0.8938, 0.8952])}
{'map': tensor(0.8252), 'map_50': tensor(0.9605), 'map_75': tensor(0.9421), 'map_small': tensor(0.5755), 'map_medium': tensor(0.8155), 'map_large': tensor(0.8134), 'mar_1': tensor(0.3976), 'mar_10': tensor(0.8842), 'mar_100': tensor(0.8842), 'mar_small': tensor(0.6708), 'mar_medium': tensor(0.9007), 'mar_large': tensor(0.9270), 'map_per_class': tensor([0.8028, 0.8330, 0.8397]), 'mar_100_per_class': tensor([0.8620, 0.8945, 0.8963])}
{'map': tensor(0.8232), 'map_50': tensor(0.9602), 'map_75': tensor(0.9356), 'map_small': tensor(0.5709), 'map_medium': tensor(0.8145), 'map_large': tensor(0.8136), 'mar_1': tensor(0.3969), 'mar_10': tensor(0.8834), 'mar_100': tensor(0.8834), 'mar_small': tensor(0.6653), 'mar_medium': tensor(0.9004), 'mar_large': tensor(0.9270), 'map_per_class': tensor([0.8020, 0.8308, 0.8368]), 'mar_100_per_class': tensor([0.8619, 0.8931, 0.8953])}
{'map': tensor(0.8230), 'map_50': tensor(0.9605), 'map_75': tensor(0.9344), 'map_small': tensor(0.5736), 'map_medium': tensor(0.8137), 'map_large': tensor(0.7925), 'mar_1': tensor(0.3969), 'mar_10': tensor(0.8827), 'mar_100': tensor(0.8827), 'mar_small': tensor(0.6662), 'mar_medium': tensor(0.8994), 'mar_large': tensor(0.8988), 'map_per_class': tensor([0.8021, 0.8279, 0.8390]), 'mar_100_per_class': tensor([0.8610, 0.8908, 0.8965])}
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